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ORCIDCarson K. Leung
Carson Kai-Sang Leung
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- affiliation: University of Manitoba, Winnipeg, Canada
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2020 – today
- 2025
[j47]Redwan Ahmed Rizvee
, Chowdhury Farhan Ahmed, Carson K. Leung:
A tree-based framework to mine top-K closed sequential patterns. Appl. Intell. 55(3): 221 (2025)- [j46]Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung:
Supervised graph embedding for classification using discriminating frequent patterns. Int. J. Data Sci. Anal. 19(2): 337-349 (2025) - [c314]Mehreen Rashid, Fabliha Anber, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor:
A Probabilistic Reasoning Framework to Detect Fake News on Social Media. IMCOM 2025: 1-8 - [e7]Richard Chbeir, Sergio Ilarri, Yannis Manolopoulos, Peter Z. Revesz, Jorge Bernardino, Carson K. Leung:
Database Engineered Applications - 28th International Symposium, IDEAS 2024, Bayonne, France, August 26-29, 2024, Proceedings. Lecture Notes in Computer Science 15511, Springer 2025, ISBN 978-3-031-83471-4 [contents] - [i9]Yan Sun, Yutong Lu, Yan Yi Li, Zihao Jing, Carson K. Leung, Pingzhao Hu:
MolGraph-xLSTM: A graph-based dual-level xLSTM framework with multi-head mixture-of-experts for enhanced molecular representation and interpretability. CoRR abs/2501.18439 (2025) - [i8]Seyed Shayan Daneshvar, Da Tan, Shaowei Wang, Carson K. Leung:
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection. CoRR abs/2504.15632 (2025) - 2024
- [j45]Md. Ashraful Islam, Chowdhury Farhan Ahmed, Md. Tanvir Alam, Carson Kai-Sang Leung:
Graph-based substructure pattern mining with edge-weight. Appl. Intell. 54(5): 3756-3785 (2024) - [j44]Redwan Ahmed Rizvee, Chowdhury Farhan Ahmed, Md. Fahim Arefin, Carson K. Leung:
A new tree-based approach to mine sequential patterns. Expert Syst. Appl. 242: 122754 (2024) - [j43]Leann Lac, Carson K. Leung, Pingzhao Hu:
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data. J. Biomed. Informatics 152: 104629 (2024) - [j42]Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson Kai-Sang Leung:
Discovering Interesting Patterns from Hypergraphs. ACM Trans. Knowl. Discov. Data 18(1): 32:1-32:34 (2024) - [c313]Brett E. Downey, Carson K. Leung, Adam G. M. Pazdor, Ryan A. L. Petrillo, Denys Popov, Benjamin R. Schneider:
Anomaly Detection with Generalized Isolation Forest. AINA (2) 2024: 356-368 - [c312]Connor C. J. Hryhoruk, Carson K. Leung, Jingyuan Li, Brandon A. Narine, Felix Wedel:
Multi-level Frequent Pattern Mining on Pipeline Incident Data. AINA (2) 2024: 380-392 - [c311]Arshpreet S. Buttar, Jiawei Fan, Olukoye O. Fatoki, Roba Geleta, Carson K. Leung:
A Real-Time Sentiment Feedback System: Binary Categorization and Context Understanding Based on Product Reviews. ASONAM (4) 2024: 215-230 - [c310]Baha Rababah, Shang Tommy Wu, Matthew Kwiatkowski, Carson K. Leung, Cuneyt Gurcan Akcora:
Are Existing Large Language Models Robust Against Jailbreak Attacks? IEEE Big Data 2024: 5383-5391 - [c309]Baha Rababah, Shang Tommy Wu, Matthew Kwiatkowski, Carson K. Leung, Cuneyt Gurcan Akcora:
SoK: Prompt Hacking of Large Language Models. IEEE Big Data 2024: 5392-5401 - [c308]Anifat M. Olawoyin, Carson K. Leung, Hoang Hai Nguyen, Alfredo Cuzzocrea:
Privacy-Preserving Publishing with Generative Adversarial Network (GAN) for Supporting Contact Tracing of Infectious Diseases. IEEE Big Data 2024: 6298-6307 - [c307]Chang Geng, Griffin LaFreniere, Huy Khanh Le, Carson K. Leung, Quinn Chao Wong, Alfredo Cuzzocrea:
A Location Analytics Algorithm to Analyze Geographic and Demographic Data for Restaurant Analytics. COMPSAC 2024: 1788-1793 - [c306]Garik Avagyan, Juan C. Armijos, Carson K. Leung, Jasmine J. Tabuzo, Aivee F. Teodocio, Alfredo Cuzzocrea:
An Environmental Data Science Solution for Data Analytics Exploration of Traffic Interaction on Air Quality. COMPSAC 2024: 1800-1805 - [c305]Juan C. Armijos, Garik Avagyan, Carson K. Leung, Jasmine J. Tabuzo, Aivee F. Teodocio:
A Metaverse Platform for Air Pollution Analysis in Supporting Smart and Sustainable City Development. DSAA 2024: 1-10 - [c304]Sadnan Kibria Kawshik, Zulker Nayeen, Chowdhury Farhan Ahmed, Md. Tanvir Alam, Carson K. Leung, Connor C. J. Connor:
An Efficient Approach for Mining Temporal Fuzzy High-Utility Itemsets. FSDM 2024: 98-104 - [c303]Christopher N. Vattheuer, Nguyen Duy Thong Jase Tran, Carson K. Leung, Connor C. J. Hryhoruk:
Multiple Multi-Modal Methods of Malignant Mammogram Classification. ICHI 2024: 57-66 - [c302]Inzamamul Alam, Md. Samiullah, Upama Kabir, Simon S. Woo, Carson K. Leung, Hoang Hai Nguyen:
SREMIC: Spatial Relation Extraction-based Malware Image Classification. IMCOM 2024: 1-8 - [c301]Wakilur Islam, Md. Rezaul Karim, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor, Connor C. J. Hryhoruk:
An Efficient Approach to Learn an Effective Hierarchy of a Set of OOBN Classes. IMCOM 2024: 1-8 - [c300]Sartaj Solaiman, B. M. Obaydur Rahman, Md. Fahim Arefin, Chowdhury Farhan Ahmed, Carson K. Leung, Evan W. R. Madill:
Unveiling Market Sentiments: A Comprehensive Analysis of Stock Market Responses to Diverse News Events Using Data Mining Techniques. IMCOM 2024: 1-8 - [c299]Fengfan Bian, Carson K. Leung, Piers Grenier, Harry Pu, Samuel Ning:
A Database Engineered System for Big Data Analytics on Tornado Climatology. IDEAS 2024: 172-185 - [c298]Roland Fehr, Jonathan Lee, Carson K. Leung, Ning Liu, Xin Nie:
Visual Analytics of Motor Vehicle Accidents. IV 2024: 1-6 - [c297]Carson K. Leung, Rayan Imran, Adam G. M. Pazdor, Joglas Souza:
An Explainable Artificial Intelligence Solution for the Practical Application of Employee Turnover. IV 2024: 1-6 - [c296]Daxuan Chen, Tristan S. Dyck, Carson K. Leung, Trevor D. Neudorf, Linpu Zhang:
A Visual Analytics Solution for Analyzing and Mining Infectious Disease Data. IV 2024: 298-301 - [c295]Nathaniel Giesbrecht, Owen A. Hnylycia, Carson K. Leung, Junyi Lu, Thanh Huy Daniel Mai, Fan Jiang, Alfredo Cuzzocrea:
Mining and Forecasting Energy Consumption Based on Weather Data. SDS 2024: 23-30 - [i7]Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung:
Mining Weighted Sequential Patterns in Incremental Uncertain Databases. CoRR abs/2404.00746 (2024) - [i6]Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson K. Leung:
Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure. CoRR abs/2404.01347 (2024) - [i5]Fengfan Bian, Carson K. Leung, Piers Grenier, Harry Pu, Samuel Ning, Alfredo Cuzzocrea:
A Database Engineered System for Big Data Analytics on Tornado Climatology. CoRR abs/2409.17668 (2024) - [i4]Baha Rababah, Shang Wu, Matthew Kwiatkowski, Carson K. Leung, Cuneyt Gurcan Akcora:
SoK: Prompt Hacking of Large Language Models. CoRR abs/2410.13901 (2024) - [i3]Md. Tanvir Alam, Chowdhury Farhan Ahmed, Carson K. Leung:
Hyperedge Anomaly Detection with Hypergraph Neural Network. CoRR abs/2412.05641 (2024) - 2023
- [j41]Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam, Carson K. Leung:
UGMINE: utility-based graph mining. Appl. Intell. 53(1): 49-68 (2023) - [j40]Md. Sahidul Islam, Pankaj Chandra Kar, Mohammad Samiullah, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung:
Discovering probabilistically weighted sequential patterns in uncertain databases. Appl. Intell. 53(6): 6525-6553 (2023) - [j39]Carson K. Leung, Gabriella Pasi, Li Wang:
Theoretical and practical data science and analytics: challenges and solutions. Int. J. Data Sci. Anal. 16(4): 403-406 (2023) - [j38]Jeong-Hun Kim, Fei Hao, Carson Kai-Sang Leung, Aziz Nasridinov:
Cluster-guided temporal modeling for action recognition. Int. J. Multim. Inf. Retr. 12(2): 15 (2023) - [j37]Eric Lin, Boyuan Liu, Leann Lac, Daryl L. X. Fung, Carson K. Leung, Pingzhao Hu:
scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. Mach. Learn. Sci. Technol. 4(3): 35013 (2023) - [c294]Anifat M. Olawoyin, Carson K. Leung, Connor C. J. Hryhoruk, Alfredo Cuzzocrea:
Big Data Management for Machine Learning from Big Data. AINA (1) 2023: 393-405 - [c293]Antony Anuraj, Gurtej S. Boparai, Carson K. Leung, Evan W. R. Madill, Darshan A. Pandhi, Ayush Dilipkumar Patel, Ronak K. Vyas:
Sports Data Mining for Cricket Match Prediction. AINA (3) 2023: 668-680 - [c292]Connor C. J. Hryhoruk, Carson K. Leung, Adam G. M. Pazdor:
Social network mining and analytics for quantitative patterns. ASONAM 2023: 727-734 - [c291]Carson K. Leung, Qi Wen:
Personalized privacy-preserving semi-centralized recommendation system in a social network. ASONAM 2023: 735-744 - [c290]Carson K. Leung, Hoang Hai Nguyen:
A Novel Deep Learning Approach for Breast Cancer Detection on Screening Mammography. BIBE 2023: 277-284 - [c289]Carson K. Leung, Evan W. R. Madill, Qi Wen:
A Privacy-Preserving Semi-Decentralized Personalized Recommendation System. IEEE Big Data 2023: 1336-1343 - [c288]Alfredo Cuzzocrea, Abderraouf Hafsaoui, Carson K. Leung:
Machine-Learning-Based Multidimensional Big Data Analytics over Clouds via Multi-Columnar Big OLAP Data Cube Compression. IEEE Big Data 2023: 5206-5212 - [c287]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Evolution of Big Data Models from Hierarchical Models to Knowledge Graphs. COMPSAC 2023: 1325-1330 - [c286]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Privacy Preservation of Big Spatio-Temporal Co-occurrence Data. COMPSAC 2023: 1331-1336 - [c285]Nhu Minh Ngoc Pham, Yixi Wu, Carson K. Leung, Mohammadafaz V. Munshi, Vrushil Kiritkumar Patel:
Data Analytics for Dependable Transportation Systems in a Smart City. DASC/PiCom/CBDCom/CyberSciTech 2023: 323-332 - [c284]Thomas J. Czubryt, Connor C. J. Hryhoruk, Carson K. Leung, Adam G. M. Pazdor:
Efficient Vertical Mining of Frequent Quantitative Patterns. DASC/PiCom/CBDCom/CyberSciTech 2023: 950-955 - [c283]Elieser Capillar, Chowdhury Abdul Mumin Ishmam, Carson K. Leung, Adam G. M. Pazdor, Prabhanshu Shrivastava, Ngoc Bao Chau Truong:
Bitwise Vertical Mining of Minimal Rare Patterns. DaWaK 2023: 135-141 - [c282]Fahim Faisal, Carson K. Leung, Noman Mohammed, Yang Wang:
Privacy-Preserving Learning via Data and Knowledge Distillation. DSAA 2023: 1-10 - [c281]Jiaxing Jason Mai, Carson K. Leung, Connor C. J. Hryhoruk, Adam G. M. Pazdor:
Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit. DSAA 2023: 1-10 - [c280]David Ojo, Nusayer Masud Siddique, Carson K. Leung, Connor C. J. Hryhoruk:
Machine Learning-Based Android Malware Detection. DSAA 2023: 1-10 - [c279]Katrina Dotzlaw, Ryan Dotzlaw, Carson K. Leung, Adam G. M. Pazdor, Sean Szturm, Da Tan:
Data Analytics and Prediction of Long COVID Cases with Fuzzy Logic. FUZZ 2023: 1-6 - [c278]Connor C. J. Hryhoruk, Carson K. Leung:
Mining Sequential Patterns with Timelines from Digital Health Data. ICDH 2023: 292-294 - [c277]Katrina Dotzlaw, Ryan Dotzlaw, Carson K. Leung, Adam G. M. Pazdor, Sean Szturm, Da Tan:
Mining Big Healthcare Data to Predict Long COVID Cases. ICIT 2023: 1-6 - [c276]Colin N. Johnson, Jay Khakhariya, Carson K. Leung, Adam G. M. Pazdor, Steven J. Peters, Aaron M. Salo:
Mining Popular Trends from TED Talk Data. ICIT 2023: 1-6 - [c275]A. M. Aahad, Khondker Bin Yamin, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Evan W. R. Madill, Adam G. M. Pazdor:
Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks. ICTAI 2023: 221-228 - [c274]Carson K. Leung:
Discovery of Patent Influence with Directed Acyclic Graph Network Analysis. IDEAS 2023: 17-24 - [c273]Deyu Deng, Carson K. Leung, Adam G. M. Pazdor:
Dynamic Pricing for Parking Facility. INCoS 2023: 136-147 - [c272]Da Tan, Carson K. Leung, Katrina Dotzlaw, Ryan Dotzlaw, Adam G. M. Pazdor, Sean Szturm:
A Data Science Solution for Analyzing Long COVID Cases. IRI 2023: 227-232 - [c271]Shawn J. Lanting, Carson K. Leung, Khush Bhrugesh Patel, Sanskar Raval, Liza Yashin:
A Transportation Analytic Solution for Predicting Flight Cancellations. IRI 2023: 248-253 - [c270]Jasmin K. Dhaliwal, Megan E. Galbraith, Carson K. Leung, Da Tan:
A Data Discovery and Visualization Tool for Visual Analytics of Time Series in Digital Agriculture. IV 2023: 268-271 - [c269]Carson K. Leung, Mohammadafaz V. Munshi, Vrushil Kiritkumar Patel, Nhu Minh Ngoc Pham, Yixi Wu:
Visual Knowledge Discovery from Public Transit Performance Data. IV 2023: 323-328 - [c268]Golnaz Sababipour ASL, Kiarash Shamsi, Ruppa K. Thulasiram, Cuneyt Gurcan Akcora, Carson K. Leung:
Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model. SSCI 2023: 395-400 - [c267]Nhu Minh Ngoc Pham, Yixi Wu, Carson K. Leung, Mohammadafaz V. Munshi, Vrushil Kiritkumar Patel, Connor C. J. Hryhoruk:
A Big Data Science and Engineering Solution for Transit Performance Analytics. TrustCom 2023: 2295-2302 - [c266]Qi Wen, Carson K. Leung, Adam G. M. Pazdor:
Personalized Privacy-Preserving Semi-Centralized Recommendation System in a Trust-Based Agent Network. TrustCom 2023: 2644-2651 - [i2]Mst. Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, Nova Ahmed, Carson K. Leung:
Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words. CoRR abs/2303.07514 (2023) - 2022
- [j36]Sabrina Zaman Ishita, Chowdhury Farhan Ahmed, Carson K. Leung:
New approaches for mining regular high utility sequential patterns. Appl. Intell. 52(4): 3781-3806 (2022) - [j35]Judah Zammit, Daryl L. X. Fung, Qian Liu, Carson Kai-Sang Leung, Pingzhao Hu:
Semi-supervised COVID-19 CT image segmentation using deep generative models. BMC Bioinform. 23(7): 343 (2022) - [j34]Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung:
Mining weighted sequential patterns in incremental uncertain databases. Inf. Sci. 582: 865-896 (2022) - [j33]Kritbodin Phiwhorm, Charnnarong Saikaew, Carson K. Leung, Pattarawit Polpinit, Kanda Runapongsa Saikaew:
Adaptive multiple imputations of missing values using the class center. J. Big Data 9(1): 52 (2022) - [j32]Mohammad Ehsan Shahmi Chowdhury, Chowdhury Farhan Ahmed, Carson K. Leung:
A New Approach for Mining Correlated Frequent Subgraphs. ACM Trans. Manag. Inf. Syst. 13(1): 9:1-9:28 (2022) - [c265]Bamibo C. Isichei, Carson K. Leung, Lam Thu Nguyen, Luke B. Morrow, Anh Tuan Ngo, Trang Doan Pham, Alfredo Cuzzocrea:
Sports Data Management, Mining, and Visualization. AINA (2) 2022: 141-153 - [c264]Renz M. Cabusas, Brenna N. Epp, Justin M. Gouge, Tyson N. Kaufmann, Carson K. Leung, James R. A. Tully:
Mining for Fake News. AINA (2) 2022: 154-166 - [c263]Adam G. M. Pazdor, Carson K. Leung, Thomas J. Czubryt, Junyi Lu, Denys Popov, Sanskar Raval:
Social Network Analysis of Popular YouTube Videos via Vertical Quantitative Mining. ASONAM 2022: 303-307 - [c262]Connor C. J. Hryhoruk, Carson K. Leung:
Social Network Analysis on Interpretable Compressed Sparse Networks. ASONAM 2022: 324-331 - [c261]Carson K. Leung, Evan W. R. Madill, Nguyen Duy Thong Tran, Christine Y. Zhang:
Health Informatics on Big COVID-19 Pandemic Data via N-Shot Learning. BIBM 2022: 2784-2791 - [c260]Ryan Froese, James W. Klassen, Carson K. Leung, Tyler S. Loewen:
The Border K-Means Clustering Algorithm for One Dimensional Data. BigComp 2022: 35-42 - [c259]Anifat M. Olawoyin, Carson K. Leung:
Preserving Privacy Integration and Mining for Big Temporal Co-occurrence Patterns. IEEE Big Data 2022: 3959-3968 - [c258]Mst. Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, Nova Ahmed, Carson K. Leung:
Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words. IEEE Big Data 2022: 5414-5423 - [c257]Sukhmandeep Kaur, Nikola N. Kokilev, Michael R. Kuzie, Carson K. Leung, Ben Nguyen, Adam G. M. Pazdor, Mark J. D. Shinnie:
A Big Data Science Solution for Transportation Analytics with Meteorological Data. BigDataSE 2022: 21-28 - [c256]Evan Madill, Ben Nguyen, Carson K. Leung, Sara Rouhani:
ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning. BSCI 2022: 95-106 - [c255]Carson K. Leung, Thanh Huy Daniel Mai, Nguyen Duy Thong Jase Tran:
Deep Learning Based Multi-Label Prediction of Hospitalization for COVID-19 Cases. CBMS 2022: 96-101 - [c254]Adam B. Bouttell, Sijin Lee, Carson K. Leung, Martin J. Levesque, Seunggon Son, Weihong Zhang, Alfredo Cuzzocrea:
Predictive Analytics for Supporting Environmental Sustainability and Disaster Management. COMPSAC 2022: 1256-1261 - [c253]Kyle R. Boch, Freyja C. Kristjanson, Carson K. Leung, Yu Liu, Andrea M. Unrau, Shuai April Zhang, Alfredo Cuzzocrea:
Mining Popular Topics from the Media. COMPSAC 2022: 1262-1267 - [c252]Ben Nguyen, Mark J. D. Shinnie, Carson K. Leung, Michael R. Kuzie, Nikola N. Kokilev, Sukhmandeep Kaur:
A Data Science Solution for Mining Weather Data and Transportation Data for Smart Cities. COMPSAC 2022: 1672-1677 - [c251]Alfredo Cuzzocrea, Carson K. Leung, Mojtaba Hajian, Marshall D. Jackson:
Effectively and Efficiently Supporting Predictive Big Data Analytics over Open Big Data in the Transportation Sector: A Bayesian Network Framework. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c250]Alfredo Cuzzocrea, Carson K. Leung, Selim Soufargi, Carmine Gallo, Siyuan Shang, Yubo Chen:
OLAP over Big COVID-19 Data: A Real-Life Case Study. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6 - [c249]Thomas J. Czubryt, Carson K. Leung, Adam G. M. Pazdor:
Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns. DaWaK 2022: 219-233 - [c248]Evan W. R. Madill, Carson K. Leung, Justin M. Gouge:
Enhanced Sliding Window-Based Periodic Pattern Mining from Dynamic Streams. DaWaK 2022: 234-240 - [c247]Paul O. Brown, Meng Ching Chiang, Shiqing Guo, Yingzi Jin, Carson K. Leung, Evan L. Murray, Adam G. M. Pazdor, Alfredo Cuzzocrea:
Mahalanobis Distance Based K-Means Clustering. DaWaK 2022: 256-262 - [c246]Fahim Faisal, Noman Mohammed, Carson K. Leung, Yang Wang:
Generating Privacy Preserving Synthetic Medical Data. DSAA 2022: 1-10 - [c245]Matthew Kwiatkowski, Benjamin J. Zacharias, Carson K. Leung, PokYee Joey Tsu, Joshua M. Thomas, Michael Kolisnyk, Alfredo Cuzzocrea:
A Fuzzy-Logic Based Multi-Dimensional Analysis of Traffic Incident Data. FUZZ-IEEE 2022: 1-8 - [c244]Nguyen Duy Thong Jase Tran, Carson K. Leung, Tanisha Turner, S. Tommy Wu, Nurida Karimbaeva, Juhee Kim, Alfredo Cuzzocrea:
Transportation Analytics with Fuzzy Logic and Regression. FUZZ-IEEE 2022: 1-8 - [c243]Yidong Wei, Carson K. Leung, Cheng Li:
A Rough Set System for Mining from Streaming Data. FUZZ-IEEE 2022: 1-8 - [c242]Bikramjit Singh Dhaliwal, Rayan Imran, Carson K. Leung, Evan W. R. Madill:
Trustworthy Explanations for Knowledge Discovered from E-Health Records. HealthCom 2022: 246-251 - [c241]Alfredo Cuzzocrea, Majid Abbasi Sisara, Carson K. Leung, Yan Wen, Fan Jiang:
Effectively and Efficiently Supporting Visual Big Data Analytics over Big Sequential Data: An Innovative Data Science Approach. ICCSA (2) 2022: 113-125 - [c240]Nguyen Duy Thong Tran, Carson K. Leung, Evan W. R. Madill, Phan Thai Binh:
A Deep Learning Based Predictive Model for Healthcare Analytics. ICHI 2022: 547-549 - [c239]Carson K. Leung, Evan W. R. Madill, Joglas Souza, Christine Y. Zhang:
Towards Trustworthy Artificial Intelligence in Healthcare. ICHI 2022: 626-632 - [c238]Mohammad Fahim Arefin, Chowdhury Farhan Ahmed, Redwan Ahmed Rizvee, Carson K. Leung, Longbing Cao:
Mining Contextual Item Similarity without Concept Hierarchy. IMCOM 2022: 1-8 - [c237]Joshua F. Smallwood, Chenru Zhao, Carson K. Leung, Yan Wen, Hao Zheng:
Mining the Impacts of COVID-19 Pandemic on the Labour Market. IMCOM 2022: 1-8 - [c236]Thomas James Czubryt, Carson K. Leung, Adam G. M. Pazdor:
Q-Eclat: Vertical Mining of Interesting Quantitative Patterns. IDEAS 2022: 25-33 - [c235]Deyu Deng, Carson K. Leung, Adam G. M. Pazdor:
Data Analytics for Parking Facility Management. INCoS 2022: 117-129 - [c234]Alfredo Cuzzocrea, Carson K. Leung, Selim Soufargi, Anifat M. Olawoyin:
The Emerging Challenges of Big Data Lakes, and a Real-Life Framework for Representing, Managing and Supporting Machine Learning on Big Arctic Data. INCoS 2022: 161-174 - [c233]Michael Kolisnyk, Matthew Kwiatkowski, Carson K. Leung, Benjamin J. Zacharias:
Analysis of Multi-Dimensional Road Accident Data for Disaster Management in Smart Cities. IRI 2022: 43-48 - [c232]Juhee Kim, Carson K. Leung, Nguyen Duy Thong Jase Tran, Tanisha Turner:
A Regression-Based Data Science Solution for Transportation Analytics. IRI 2022: 55-60 - [c231]Calvin S. H. Hoi, Carson K. Leung, Adam G. M. Pazdor:
Data. Information and Knowledge Visualization for Frequent Patterns. IV 2022: 221-226 - [c230]Carson K. Leung, Evan W. R. Madill, Adam G. M. Pazdor:
Visualization and Visual Knowledge Discovery from Big Uncertain Data. IV 2022: 330-335 - [c229]Connor C. J. Hryhoruk, Carson K. Leung:
Web Mining from Interpretable Compressed Representation of Sparse Web. WI/IAT 2022: 620-627 - [e6]Herwig Unger, Young-Kuk Kim, Eenjun Hwang, Sung-Bae Cho, Stephan Pareigis, Kyandoghere Kyamakya, Young-Guk Ha, Jinho Kim, Atsuyuki Morishima, Christian Wagner, Hyuk-Yoon Kwon, Yang-Sae Moon, Carson K. Leung:
IEEE International Conference on Big Data and Smart Computing, BigComp 2022, Daegu, Korea, Republic of, January 17-20, 2022. IEEE 2022, ISBN 978-1-6654-2197-3 [contents] - [i1]Evan Madill, Ben Nguyen, Carson K. Leung, Sara Rouhani:
ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning. CoRR abs/2204.01202 (2022) - 2021
- [j31]Jeong-Hun Kim, Jong-Hyeok Choi, Young-Ho Park, Carson Kai-Sang Leung, Aziz Nasridinov:
KNN-SC: Novel Spectral Clustering Algorithm Using k-Nearest Neighbors. IEEE Access 9: 152616-152627 (2021) - [j30]Alfredo Cuzzocrea, Carson K. Leung, S. Sourav, Bryan H. Wodi:
An Effective and Efficient Framework for Fast Privacy-Preserving Keyword Search on Encrypted Outsourced Cloud Data. J. Ubiquitous Syst. Pervasive Networks 15(2): 43-53 (2021) - [c228]Isabelle M. Anderson-Grégoire, Kaitlyn A. Horner, Carson K. Leung, Delica S. Leboe-McGowan, Anifat M. Olawoyin, Beni Reydman, Alfredo Cuzzocrea:
A Big Data Science Solution for Analytics on Moving Objects. AINA (2) 2021: 133-145 - [c227]Carson K. Leung, Anifat M. Olawoyin, Qi Wen:
Privacy-Preserving Healthcare Analytics of Trajectory Data. APWeb/WAIM (2) 2021: 414-420 - [c226]Connor C. J. Hryhoruk, Carson K. Leung:
Compressing and mining social network data. ASONAM 2021: 545-552 - [c225]Carson K. Leung, Sehaj Pal Singh:
A mathematical model for friend discovery from dynamic social graphs. ASONAM 2021: 569-576 - [c224]Carson K. Leung, Thanh Huy Daniel Mai, Nguyen Duy Thong Tran, Christine Y. Zhang:
Predictive Analytics to Support Health Informatics on COVID-19 Data. BIBE 2021: 1-9 - [c223]Nguyen Duy Thong Tran, Carson K. Leung, Daryl L. X. Fung, Thanh Huy Daniel Mai:
Health Analytics on Big COVID-19 Data. BIBM 2021: 1395 - [c222]Carson K. Leung, Yan Wen, Hao Zheng:
Conceptual Modeling and Smart Computing for Big Transportation Data. BigComp 2021: 260-267 - [c221]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Open Data Lake to Support Machine Learning on Arctic Big Data. IEEE BigData 2021: 5215-5224 - [c220]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Privacy-Preserving Publishing and Visualization of Spatial-Temporal Information. IEEE BigData 2021: 5420-5429 - [c219]Deyu Deng, Carson K. Leung, Chenru Zhao, Yan Wen, Hao Zheng:
Spatial-Temporal Data Science of COVID-19 Data. BigDataSE 2021: 7-14 - [c218]Marshall D. Jackson, Carson K. Leung, M. Diarra B. Mbacke, Alfredo Cuzzocrea:
A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data. COMPSAC 2021: 332-337 - [c217]Yubo Chen, Carson K. Leung, Hao Li, Siyuan Shang, Wanmeng Wang, Zhi Zheng:
A Data Science Solution for Supporting Social and Economic Analysis. COMPSAC 2021: 1689-1694 - [c216]Tianlei Wang, James D. Harvey, Carson K. Leung, Adam G. M. Pazdor, Animesh Singh Chauhan, Lihe Fan, Alfredo Cuzzocrea:
Distributed Big Data Computing for Supporting Predictive Analytics of Service Requests. COMPSAC 2021: 1723-1728 - [c215]Chenru Zhao, Carson K. Leung, Adam G. M. Pazdor, Qi Wen:
Analyzing COVID-19 Epidemiological Data. DASC/PiCom/CBDCom/CyberSciTech 2021: 985-990 - [c214]Carson K. Leung, Daryl L. X. Fung, Calvin S. H. Hoi:
Health Analytics on COVID-19 Data with Few-Shot Learning. DaWaK 2021: 67-80 - [c213]Carson K. Leung, Adam G. M. Pazdor, Joglas Souza:
Explainable Artificial Intelligence for Data Science on Customer Churn. DSAA 2021: 1-10 - [c212]Animesh Singh Chauhan, Alfredo Cuzzocrea, Lihe Fan, James D. Harvey, Carson K. Leung, Adam G. M. Pazdor, Tianlei Wang:
Predictive Big Data Analytics for Service Requests: A Framework. EUSPN/ICTH 2021: 102-111 - [c211]Alfredo Cuzzocrea, Carson K. Leung, Anifat M. Olawoyin, Edoardo Fadda:
Supporting Privacy-Preserving Big Data Analytics on Temporal Open Big Data. EUSPN/ICTH 2021: 112-121 - [c210]Carson K. Leung, Qi Wen, Chenru Zhao:
Big Data Mining on Health Informatics Data for Cities. HPCC/DSS/SmartCity/DependSys 2021: 1720-1727 - [c209]Riddho Ridwanul Haque, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung:
UFreS: A New Technique for Discovering Frequent Subgraph Patterns in Uncertain Graph Databases. ICBK 2021: 253-260 - [c208]Carson K. Leung, Daryl L. X. Fung, Thanh Huy Daniel Mai, Joglas Souza, Nguyen Duy Thong Tran:
A Digital Health System for Disease Analytics. ICDH 2021: 70-79 - [c207]Christian M. Choy, M. Kiefer Co, Matthew J. Fogel, Clarke D. Garrioch, Carson K. Leung, Ekaterina Martchenko:
Natural Sciences Meet Social Sciences: Census Data Analytics for Detecting Home Language Shifts. IMCOM 2021: 1-8 - [c206]Carson K. Leung, Daryl L. X. Fung, Daniel Mai, Qi Wen, Jason Tran, Joglas Souza:
Explainable Data Analytics for Disease and Healthcare Informatics. IDEAS 2021: 65-74 - [c205]Daryl L. X. Fung, Calvin S. H. Hoi, Carson K. Leung, Christine Y. Zhang:
Predictive Analytics of COVID-19 with Neural Networks. IJCNN 2021: 1-8 - [c204]Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam, Carson K. Leung:
Mining High Utility Subgraphs. ICDM (Workshops) 2021: 566-573 - [c203]Carson K. Leung, Tyson N. Kaufmann, Yan Wen, Chenru Zhao, Hao Zheng:
Revealing COVID-19 Data by Data Mining and Visualization. INCoS 2021: 70-83 - [c202]Carson K. Leung, Chenru Zhao, Hao Zheng:
Smart Data Analytics on COVID-19 Data. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 372-379 - [c201]Carson K. Leung, Yan Wen, Chenru Zhao, Hao Zheng, Fan Jiang, Alfredo Cuzzocrea:
A Visual Data Science Solution for Visualization and Visual Analytics of Big Sequential Data. IV 2021: 229-234 - [c200]Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung:
Mining Frequent Patterns from Hypergraph Databases. PAKDD (2) 2021: 3-15 - [c199]Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung:
Discriminating Frequent Pattern Based Supervised Graph Embedding for Classification. PAKDD (2) 2021: 16-28 - [c198]Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson K. Leung:
Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure. PAKDD (2) 2021: 29-41 - [c197]Alfredo Cuzzocrea, Enzo Mumolo, Edoardo Fadda, Selim Soufargi, Carson K. Leung:
Non-Linear Analytic Prediction of IP Addresses for Supporting Cyber Attack Detection and Analysis. SEBD 2021: 13-23 - [c196]Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea, Selim Soufargi, Carson K. Leung:
An Effective and Efficient Graph Representation Learning Approach for Big Graphs. SEBD 2021: 140-149 - [c195]Carson K. Leung, Adam G. M. Pazdor, Hao Zheng:
Scalable Mining of Big Data. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 240-247 - [c194]Connor C. J. Hryhoruk, Carson K. Leung, Yan Wen, Hao Zheng:
Smart City Transportation Data Analytics with Conceptual Models and Knowledge Graphs. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 455-462 - [c193]Carson K. Leung, Evan W. R. Madill, Sehaj Pal Singh:
A Web Intelligence Solution to Support Recommendations from the Web. WI/IAT (Workshop/Special Session) 2021: 160-167 - [c192]Connor C. J. Hryhoruk, Carson K. Leung:
Interpretable Mining of Influential Patterns from Sparse Web. WI/IAT 2021: 532-537 - [e5]Herwig Unger, Jinho Kim, U Kang, Chakchai So-In, Junping Du, Walid Saad, Young-Guk Ha, Christian Wagner, Julien Bourgeois, Chanboon Sathitwiriyawong, Hyuk-Yoon Kwon, Carson K. Leung:
IEEE International Conference on Big Data and Smart Computing, BigComp 2021, Jeju Island, South Korea, January 17-20, 2021. IEEE 2021, ISBN 978-1-7281-8924-6 [contents] - 2020
- [j29]Qian Liu, Carson K. Leung, Pingzhao Hu:
A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images. IEEE Access 8: 213718-213728 (2020) - [j28]Chris Soo-Hyun Eom, Charles Cheolgi Lee, Wookey Lee, Carson K. Leung:
Effective privacy preserving data publishing by vectorization. Inf. Sci. 527: 311-328 (2020) - [c191]Joglas Souza, Carson K. Leung, Alfredo Cuzzocrea:
An Innovative Big Data Predictive Analytics Framework over Hybrid Big Data Sources with an Application for Disease Analytics. AINA 2020: 669-680 - [c190]Carson K. Leung, Yibin Zhang, Fan Jiang:
Compression for Very Sparse Big Social Data. ASONAM 2020: 659-666 - [c189]Sehaj Pal Singh, Carson K. Leung:
A Theoretical Approach for Discovery of Friends from Directed Social Graphs. ASONAM 2020: 697-701 - [c188]Carson K. Leung, Oluwafemi A. Sarumi, Christine Y. Zhang:
Predictive Analytics on Genomic Data with High-Performance Computing. BIBM 2020: 2187-2194 - [c187]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Preserving Privacy of Temporal Big Data. IEEE BigData 2020: 4042-4051 - [c186]Carson K. Leung, Yubo Chen, Calvin S. H. Hoi, Siyuan Shang, Alfredo Cuzzocrea:
Machine Learning and OLAP on Big COVID-19 Data. IEEE BigData 2020: 5118-5127 - [c185]Carson K. Leung, Yubo Chen, Siyuan Shang, Deyu Deng:
Big Data Science on COVID-19 Data. BigDataSE 2020: 14-21 - [c184]Anifat M. Olawoyin, Carson K. Leung, Ratna Choudhury:
Privacy-Preserving Spatio-Temporal Patient Data Publishing. DEXA (2) 2020: 407-416 - [c183]Alfredo Cuzzocrea, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai, Fan Jiang, Edoardo Fadda:
A Combined Deep-Learning and Transfer-Learning Approach for Supporting Social Influence Prediction. EUSPN/ICTH 2020: 170-177 - [c182]Alfredo Cuzzocrea, Carson K. Leung, Bryan H. Wodi, S. Sourav, Edoardo Fadda:
An Effective and Efficient Technique for Supporting Privacy-Preserving Keyword-Based Search over Encrypted Data in Clouds. EUSPN/ICTH 2020: 509-515 - [c181]Carson K. Leung, Jonathan D. Elias, Shael M. Minuk, A. Roy R. de Jesus, Alfredo Cuzzocrea:
An Innovative Fuzzy Logic-Based Machine Learning Algorithm for Supporting Predictive Analytics on Big Transportation Data. FUZZ-IEEE 2020: 1-8 - [c180]Calvin S. H. Hoi, Carson K. Leung, Joglas Souza:
Prediction of Food Preparation Time for Smart City. HPCC/DSS/SmartCity 2020: 1203-1210 - [c179]Siyuan Shang, Carson K. Leung, Yubo Chen, Adam G. M. Pazdor:
Spatial Data Science of COVID-19 Data. HPCC/DSS/SmartCity 2020: 1370-1375 - [c178]Kevin Hoang, Carson K. Leung, Matthew R. Spelchak, Bonnie Tang, Duncan P. Taylor-Quiring, Nicholas J. Wiebe:
Cognitive and Predictive Analytics on Big Open Data. ICCC 2020: 88-104 - [c177]Carson K. Leung, Daryl L. X. Fung, Saad B. Mushtaq, Owen T. Leduchowski, Robert Luc Bouchard, Hui Jin, Alfredo Cuzzocrea, Christine Y. Zhang:
Data science for healthcare predictive analytics. IDEAS 2020: 8:1-8:10 - [c176]Carson K. Leung, Yubo Chen, Siyuan Shang, Yan Wen, Connor C. J. Hryhoruk, Denis L. Levesque, Nicholas A. Braun, Nitya Seth, Prakhar Jain:
Data Mining on Open Public Transit Data for Transportation Analytics During Pre-COVID-19 Era and COVID-19 Era. INCoS 2020: 133-144 - [c175]Joshua D. Hamilton, Carson K. Leung, Sehaj Pal Singh:
Identifying the Right Person in Social Networks with Double Metaphone Codes. ISPA/BDCloud/SocialCom/SustainCom 2020: 794-801 - [c174]Yubo Chen, Carson K. Leung, Siyuan Shang, Qi Wen:
Temporal Data Analytics on COVID-19 Data with Ubiquitous Computing. ISPA/BDCloud/SocialCom/SustainCom 2020: 958-965 - [c173]Carson K. Leung, Yubo Chen, Calvin S. H. Hoi, Siyuan Shang, Yan Wen, Alfredo Cuzzocrea:
Big Data Visualization and Visual Analytics of COVID-19 Data. IV 2020: 415-420 - [c172]Paul Patrick F. Balbin, Jackson C. R. Barker, Carson K. Leung, Marvin Tran, Riley P. Wall, Alfredo Cuzzocrea:
Predictive analytics on open big data for supporting smart transportation services. KES 2020: 3009-3018 - [c171]Sehaj Pal Singh, Carson K. Leung, Joshua D. Hamilton:
Analytics of Similar-Sounding Names from the Web with Phonetic Based Clustering. WI/IAT 2020: 580-585 - [c170]Carson K. Leung, Fan Jiang, Yibin Zhang:
Explainable Machine Learning and Mining of Influential Patterns from Sparse Web. WI/IAT 2020: 829-836
2010 – 2019
- 2019
- [j27]Ladjel Bellatreche, Carson Kai-Sang Leung, Yinglong Xia, Didier El Baz:
Advances in cloud and big data computing. Concurr. Comput. Pract. Exp. 31(2) (2019) - [j26]Junqiang Liu, Zhongmin Chang, Carson Kai-Sang Leung, Raymond C. W. Wong, Yabo Xu, Rong Zhao:
Efficient mining of extraordinary patterns by pruning and predicting. Expert Syst. Appl. 125: 55-68 (2019) - [j25]Carson Kai-Sang Leung, Yibin Zhang:
An HSV-Based Visual Analytic System for Data Science on Music and Beyond. Int. J. Art Cult. Des. Technol. 8(1): 68-83 (2019) - [j24]Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung:
Mining weighted frequent sequences in uncertain databases. Inf. Sci. 479: 76-100 (2019) - [j23]Carson K. Leung, Peter Braun, Alfredo Cuzzocrea:
AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning. Sensors 19(6): 1345 (2019) - [c169]Carson K. Leung, Fan Jiang, Yibin Zhang:
Flexible compression of big data. ASONAM 2019: 741-748 - [c168]Joseph M. de Guia, Madhavi Devaraj, Carson K. Leung:
DeepGx: deep learning using gene expression for cancer classification. ASONAM 2019: 913-920 - [c167]Bryan H. Wodi, Carson K. Leung, Alfredo Cuzzocrea, S. Sourav:
Fast Privacy-Preserving Keyword Search on Encrypted Outsourced Data. IEEE BigData 2019: 1-10 - [c166]Carson K. Leung, Alfredo Cuzzocrea, Jiaxing Jason Mai, Deyu Deng, Fan Jiang:
Personalized DeepInf: Enhanced Social Influence Prediction with Deep Learning and Transfer Learning. IEEE BigData 2019: 2871-2880 - [c165]Oluwafemi A. Sarumi, Carson K. Leung:
Exploiting Anti-Monotonic Constraints in Mining Palindromic Motifs from Big Genomic Data. IEEE BigData 2019: 4864-4873 - [c164]Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza, Syed Khairuzzaman Tanbeer:
Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives. CCGRID 2019: 584-591 - [c163]Abdul-Rasheed A. Audu, Alfredo Cuzzocrea, Carson K. Leung, Keaton A. MacLeod, Nibrasul I. Ohin, Nadège C. Pulgar-Vidal:
An Intelligent Predictive Analytics System for Transportation Analytics on Open Data Towards the Development of a Smart City. CISIS 2019: 224-236 - [c162]Carson K. Leung, Abhishek Kajal, Yeyoung Won, Justin M. C. Choi:
Big Data Analytics for Personalized Recommendation Systems. DASC/PiCom/DataCom/CyberSciTech 2019: 1060-1065 - [c161]Carson K. Leung, Peter Braun, Calvin S. H. Hoi, Joglas Souza, Alfredo Cuzzocrea:
Urban Analytics of Big Transportation Data for Supporting Smart Cities. DaWaK 2019: 24-33 - [c160]Carson K. Leung, Lucas B. Eckhardt, Amanjyot Singh Sainbhi, Cong Thanh Kevin Tran, Qi Wen, Wookey Lee:
A Flexible Query Answering System for Movie Analytics. FQAS 2019: 250-261 - [c159]Seokjin Ahn, Stéfan V. Couture, Alfredo Cuzzocrea, Kevin Dam, Giorgio Mario Grasso, Carson K. Leung, Kaleigh L. McCormick, Bryan H. Wodi:
A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments. FUZZ-IEEE 2019: 1-6 - [c158]Bryan H. Wodi, Carson K. Leung, Alfredo Cuzzocrea, S. Sourav:
Fast privacy-preserving keyword search on encrypted outsourced data. ICC Workshops 2019: 1-10 - [c157]Deyu Deng, Jiaxing Jason Mai, Carson K. Leung, Alfredo Cuzzocrea:
Cognitive-Based Hybrid Collaborative Filtering with Rating Scaling on Entropy to Defend Shilling Influence. ICNCC 2019: 176-185 - [c156]Sabrina Zaman Ishita, Chowdhury Farhan Ahmed, Carson K. Leung, Calvin S. H. Hoi:
Mining Regular High Utility Sequential Patterns in Static and Dynamic Databases. IMCOM 2019: 897-916 - [c155]Jesan Ahammed Ovi, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor:
Mining Weighted Frequent Patterns from Uncertain Data Streams. IMCOM 2019: 917-936 - [c154]Fariha Moomtaheen Upoma, Salsabil Ahmed Khan, Chowdhury Farhan Ahmed, Tahira Alam, Sabit Anwar Zahin, Carson K. Leung:
Discovering Correlation in Frequent Subgraphs. IMCOM 2019: 1045-1062 - [c153]Alfredo Cuzzocrea, Enzo Mumolo, Carson K. Leung, Giorgio Mario Grasso:
An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments. IDEAL (2) 2019: 225-237 - [c152]Carson K. Leung:
Pattern mining for knowledge discovery. IDEAS 2019: 34:1-34:5 - [c151]Sehaj Pal Singh, Carson K. Leung, Fan Jiang, Alfredo Cuzzocrea:
A Theoretical Approach to Discover Mutual Friendships from Social Graph Networks. iiWAS 2019: 212-221 - [c150]Umama Dewan, Chowdhury Farhan Ahmed, Carson K. Leung, Redwan Ahmed Rizvee, Deyu Deng, Joglas Souza:
An efficient approach for mining weighted frequent patterns with dynamic weights. ICDM 2019: 13-27 - [c149]Redwan Ahmed Rizvee, Md Shahadat Hossain Shahin, Chowdhury Farhan Ahmed, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai:
Sliding window based weighted periodic pattern mining over time series data. ICDM 2019: 118-132 - [c148]Nahian Ashraf, Riddho Ridwanul Haque, Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Jiaxing Jason Mai, Bryan H. Wodi:
WeFreS: weighted frequent subgraph mining in a single large graph. ICDM 2019: 201-215 - [c147]Carson K. Leung, Yibin Zhang, Calvin S. H. Hoi, Joglas Souza, Bryan H. Wodi:
Big Data Analysis and Services: Visualization on Smart Data to Support Healthcare Analytics. iThings/GreenCom/CPSCom/SmartData 2019: 1261-1268 - [p2]Carson K. Leung, Wookey Lee, Justin JongSu Song:
Information Technology-Based Patent Retrieval Models. Springer Handbook of Science and Technology Indicators 2019: 859-874 - 2018
- [j22]Anna Kobusinska, Carson Kai-Sang Leung, Ching-Hsien Hsu, Raghavendra S., Victor Chang:
Emerging trends, issues and challenges in Internet of Things, Big Data and cloud computing. Future Gener. Comput. Syst. 87: 416-419 (2018) - [c146]Chenxi Fan, Huizi Hao, Carson K. Leung, Leslie Yu Sun, Jennifer Tran:
Social Network Mining for Recommendation of Friends Based on Music Interests. ASONAM 2018: 833-840 - [c145]Carson K. Leung, Ryan Middleton, Adam G. M. Pazdor, Yeyoung Won:
Mining 'Following' Patterns from Big but Sparsely Distributed Social Network Data. ASONAM 2018: 916-919 - [c144]Carson K. Leung, Calvin S. H. Hoi, Adam G. M. Pazdor, Bryan H. Wodi, Alfredo Cuzzocrea:
Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data. IEEE BigData 2018: 5101-5110 - [c143]Taylor S. Cox, Calvin S. H. Hoi, Carson K. Leung, Caden R. Marofke:
An Accurate Model for Hurricane Trajectory Prediction. COMPSAC (2) 2018: 534-539 - [c142]Carson K. Leung, Peter Braun, Adam G. M. Pazdor:
Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities. DaWaK 2018: 83-97 - [c141]Carson K. Leung, Hao Zhang, Joglas Souza, Wookey Lee:
Scalable Vertical Mining for Big Data Analytics of Frequent Itemsets. DEXA (1) 2018: 3-17 - [c140]Richard C. Camara, Alfredo Cuzzocrea, Giorgio Mario Grasso, Carson K. Leung, Steven B. Powell, Joglas Souza, Boyu Tang:
Fuzzy Logic-Based Data Analytics on Predicting the Effect of Hurricanes on the Stock Market. FUZZ-IEEE 2018: 1-8 - [c139]Calvin S. H. Hoi, Carson K. Leung, Kimberly Tran, Alfredo Cuzzocrea, Mario A. Bochicchio, Marco Simonetti:
Supporting Social Information Discovery from Big Uncertain Social Key-Value Data via Graph-Like Metaphors. ICCC 2018: 102-116 - [c138]Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Syed Khairuzzaman Tanbeer, Giorgio Mario Grasso:
An Innovative Framework for Supporting Frequent Pattern Mining Problems in IoT Environments. ICCSA (5) 2018: 642-657 - [c137]Kyle J. Morris, Sean D. Egan, Jorell L. Linsangan, Carson K. Leung, Alfredo Cuzzocrea, Calvin S. H. Hoi:
Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data. ICMLA 2018: 1486-1491 - [c136]Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor:
Frequent Sequence Mining with Weight Constraints in Uncertain Databases. IMCOM 2018: 48:1-48:8 - [c135]Deyu Deng, Carson K. Leung, Bryan H. Wodi, Jialiang Yu, Hao Zhang, Alfredo Cuzzocrea:
An Innovative Framework for Supporting Cognitive-Based Big Data Analytics for Frequent Pattern Mining. ICCC 2018: 49-56 - [c134]Chris Soo-Hyun Eom, Wookey Lee, Carson Kai-Sang Leung:
STDP: Secure Privacy-Preserving Trajectory Data Publishing. iThings/GreenCom/CPSCom/SmartData 2018: 892-899 - [c133]Katrina E. Barkwell, Alfredo Cuzzocrea, Carson K. Leung, Ashley A. Ocran, Jennifer M. Sanderson, James Ayrton Stewart, Bryan H. Wodi:
Big Data Visualisation and Visual Analytics for Music Data Mining. IV 2018: 235-240 - [c132]Oluwafemi A. Sarumi, Carson K. Leung, Adebayo O. Adetunmbi:
Spark-based data analytics of sequence motifs in large omics data. KES 2018: 596-605 - [c131]Carson K. Leung, Felix Kanke, Alfredo Cuzzocrea:
Data analytics on the board game Go for the discovery of interesting sequences of moves in joseki. KES 2018: 831-840 - [c130]Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza:
Item-centric mining of frequent patterns from big uncertain data. KES 2018: 1875-1884 - [c129]Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Calvin S. H. Hoi:
WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases. PAKDD (3) 2018: 664-676 - [c128]Carson K. Leung, Fan Jiang, Joglas Souza:
Web Page Recommendation from Sparse Big Web Data. WI 2018: 592-597 - [r12]Carson Kai-Sang Leung:
Anti-monotone Constraints. Encyclopedia of Database Systems (2nd ed.) 2018 - [r11]Carson Kai-Sang Leung:
Convertible Constraints. Encyclopedia of Database Systems (2nd ed.) 2018 - [r10]Carson Kai-Sang Leung:
Frequent Itemset Mining with Constraints. Encyclopedia of Database Systems (2nd ed.) 2018 - [r9]Carson Kai-Sang Leung:
Monotone Constraints. Encyclopedia of Database Systems (2nd ed.) 2018 - [r8]Carson Kai-Sang Leung:
Succinct Constraints. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Carson K. Leung:
Mathematical Model for Propagation of Influence in a Social Network. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j21]Ashis Kumar Chanda, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung:
A new framework for mining weighted periodic patterns in time series databases. Expert Syst. Appl. 79: 207-224 (2017) - [j20]Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang:
Finding efficiencies in frequent pattern mining from big uncertain data. World Wide Web 20(3): 571-594 (2017) - [c127]Carson K. Leung, Fan Jiang:
Efficient Mining of 'Following' Patterns from Very Big but Sparse Social Networks. ASONAM 2017: 1025-1032 - [c126]Peter Braun, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, Adam G. M. Pazdor:
MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks. DaWaK 2017: 130-145 - [c125]James A. Brown, Alfredo Cuzzocrea, Michael Kresta, Korbin D. L. Kristjanson, Carson K. Leung, Timothy W. Tebinka:
A Machine Learning Tool for Supporting Advanced Knowledge Discovery from Chess Game Data. ICMLA 2017: 649-654 - [c124]Deepankar Choudhery, Carson K. Leung:
Social Media Mining: Prediction of Box Office Revenue. IDEAS 2017: 20-29 - [c123]Peter Braun, Alfredo Cuzzocrea, Lam M. V. Doan, Suyoung Kim, Carson K. Leung, Jose Francisco A. Matundan, Rashpal Robby Singh:
Enhanced Prediction of User-Preferred YouTube Videos Based on Cleaned Viewing Pattern History. KES 2017: 2230-2239 - [c122]Peter Braun, Alfredo Cuzzocrea, Timothy D. Keding, Carson K. Leung, Adam G. M. Pazdor, Dell Sayson:
Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds. KES 2017: 2259-2268 - [c121]Karl E. Dierckens, Adrian B. Harrison, Carson K. Leung, Adrienne V. Pind:
A Data Science and Engineering Solution for Fast K-Means Clustering of Big Data. TrustCom/BigDataSE/ICESS 2017: 925-932 - [c120]Carson K. Leung, Fan Jiang, Adam G. M. Pazdor:
Bitwise parallel association rule mining for web page recommendation. WI 2017: 662-669 - [c119]Rich C. Lee, Alfredo Cuzzocrea, Wookey Lee, Carson K. Leung:
An innovative majority voting mechanism in interactive social network clustering. WIMS 2017: 14:1-14:10 - 2016
- [j19]Carson Kai-Sang Leung, Fan Jiang, Adam G. M. Pazdor, Aaron M. Peddle:
Parallel social network mining for interesting 'following' patterns. Concurr. Comput. Pract. Exp. 28(15): 3994-4012 (2016) - [j18]Akiz Uddin Ahmed, Chowdhury Farhan Ahmed, Md. Samiullah, Nahim Adnan, Carson Kai-Sang Leung:
Mining interesting patterns from uncertain databases. Inf. Sci. 354: 60-85 (2016) - [j17]Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer, Alfredo Cuzzocrea, Peter Braun, Richard Kyle MacKinnon:
Interactive mining of diverse social entities. Int. J. Knowl. Based Intell. Eng. Syst. 20(2): 97-111 (2016) - [c118]Carson K. Leung, Peter Braun, Murun Enkhee, Adam G. M. Pazdor, Oluwafemi A. Sarumi, Kimberly Tran:
Knowledge Discovery from Big Social Key-Value Data. CIT 2016: 484-491 - [c117]Fan Jiang, Carson K. Leung, Hao Zhang:
B-mine: Frequent Pattern Mining and Its Application to Knowledge Discovery from Social Networks. APWeb (1) 2016: 316-328 - [c116]Fan Jiang, Carson K. Leung, Adam G. M. Pazdor:
Big data mining of social networks for friend recommendation. ASONAM 2016: 921-922 - [c115]Carson K. Leung, Edson M. Dela Cruz, Trevor L. Cook, Fan Jiang:
Mining 'following' patterns from big sparse social networks. ASONAM 2016: 923-930 - [c114]Fan Jiang, Carson Kai-Sang Leung, Oluwafemi A. Sarumi, Christine Y. Zhang:
Mining sequential patterns from uncertain big DNA in the spark framework. BIBM 2016: 874-881 - [c113]Carson K. Leung, Hao Zhang:
Management of Distributed Big Data for Social Networks. CCGrid 2016: 639-648 - [c112]Carson K. Leung, Fan Jiang, Hao Zhang, Adam G. M. Pazdor:
A Data Science Model for Big Data Analytics of Frequent Patterns. DASC/PiCom/DataCom/CyberSciTech 2016: 866-873 - [c111]Carson K. Leung, Vadim V. Kononov, Adam G. M. Pazdor, Fan Jiang:
PyramidViz: Visual Analytics and Big Data Visualization for Frequent Patterns. DASC/PiCom/DataCom/CyberSciTech 2016: 913-916 - [c110]Md. Naimul Hoque, Chowdhury Farhan Ahmed, Nicolas Lachiche, Carson K. Leung, Hao Zhang:
Reframing in Clustering. ICTAI 2016: 350-354 - [c109]Md. Badi-Uz-Zaman Shajib, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor:
An Efficient Approach for Mining Frequent Patterns over Uncertain Data Streams. ICTAI 2016: 980-984 - [c108]Alfredo Cuzzocrea, Giorgio Mario Grasso, Fan Jiang, Carson K. Leung:
Mining Uplink-Downlink User Association in Wireless Heterogeneous Networks. IDEAL 2016: 533-541 - [c107]Shelby D. Bernhard, Carson K. Leung, Vanessa J. Reimer, Joshua Westlake:
Clickstream Prediction Using Sequential Stream Mining Techniques with Markov Chains. IDEAS 2016: 24-33 - [c106]Alfredo Cuzzocrea, Carson K. Leung:
Computing Theoretically-Sound Upper Bounds to Expected Support for Frequent Pattern Mining Problems over Uncertain Big Data. IPMU (2) 2016: 379-392 - [c105]Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Kimberly Tran:
Knowledge Discovery from Social Graph Data. KES 2016: 682-691 - [c104]Chaluemwut Noyunsan, Tatpong Katanyukul, Carson K. Leung, Kanda Runapongsa Saikaew:
Effects of the Inclusion of Non-newsworthy Messages in Credibility Assessment. MICAI (1) 2016: 185-195 - [c103]Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang, Vadim V. Kononov, Adam G. M. Pazdor:
Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns. ECML/PKDD (3) 2016: 289-293 - [c102]Fan Jiang, Carson K. Leung, Adam G. M. Pazdor:
Web Page Recommendation Based on Bitwise Frequent Pattern Mining. WI 2016: 632-635 - [c101]Patrick M. J. Dubois, Zhao Han, Fan Jiang, Carson K. Leung:
An Interactive Circular Visual Analytic Tool for Visualization of Web Data. WI 2016: 709-712 - [e4]Carson K. Leung, Jinho Kim, Young-Kuk Kim, James Geller, Wonik Choi, Young-Ho Park:
Proceedings of the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016, Jeju Island, Republic of Korea, October 17-19, 2016. ACM 2016, ISBN 978-1-4503-4754-9 [contents] - 2015
- [j16]Fan Jiang, Carson Kai-Sang Leung:
A Data Analytic Algorithm for Managing, Querying, and Processing Uncertain Big Data in Cloud Environments. Algorithms 8(4): 1175-1194 (2015) - [j15]Anna Fariha, Chowdhury Farhan Ahmed, Carson K. Leung, Md. Samiullah, Suraiya Pervin, Longbing Cao:
A new framework for mining frequent interaction patterns from meeting databases. Eng. Appl. Artif. Intell. 45: 103-118 (2015) - [j14]Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, Dacheng Liu, Aaron M. Peddle, Syed Khairuzzaman Tanbeer:
Mining Popular Patterns: A Novel Mining Problem and Its Application to Static Transactional Databases and Dynamic Data Streams. Trans. Large Scale Data Knowl. Centered Syst. 21: 115-139 (2015) - [c100]Wenzhu Tong, Carson K. Leung, Dacheng Liu, Jialiang Yu:
Probabilistic Frequent Pattern Mining by PUH-Mine. APWeb 2015: 768-780 - [c99]Carson K. Leung:
Big Data Mining Applications and Services. BigDAS 2015: 1-8 - [c98]Zhao Han, Carson K. Leung:
FIMaaS: Scalable Frequent Itemset Mining-as-a-Service on Cloud for Non-Expert Miners. BigDAS 2015: 84-91 - [c97]Carson Kai-Sang Leung, Alfredo Cuzzocrea:
Frequent Subgraph Mining from Streams of Uncertain Data. C3S2E 2015: 18-27 - [c96]Fan Jiang, Kyoji Kawagoe, Carson Kai-Sang Leung:
Big Social Network Mining for "Following" Patterns. C3S2E 2015: 28-37 - [c95]Alfredo Cuzzocrea, Wookey Lee, Carson K. Leung:
High-Recall Information Retrieval from Linked Big Data. COMPSAC 2015: 712-717 - [c94]Carson Kai-Sang Leung, Richard Kyle MacKinnon:
Balancing Tree Size and Accuracy in Fast Mining of Uncertain Frequent Patterns. DaWaK 2015: 57-69 - [c93]Carson Kai-Sang Leung, Fan Jiang:
Big Data Analytics of Social Networks for the Discovery of "Following" Patterns. DaWaK 2015: 123-135 - [c92]Fan Jiang, Carson Kai-Sang Leung, Dacheng Liu:
Efficiency Improvements in Social Network Communication via MapReduce. DSDIS 2015: 161-168 - [c91]Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung:
Frequent Subgraph Mining from Streams of Linked Graph Structured Data. EDBT/ICDT Workshops 2015: 237-244 - [c90]Alfredo Cuzzocrea, Zhao Han, Fan Jiang, Carson K. Leung, Hao Zhang:
Edge-based Mining of Frequent Subgraphs from Graph Streams. KES 2015: 573-582 - [c89]Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon:
Approximation to Expected Support of Frequent Itemsets in Mining Probabilistic Sets of Uncertain Data. KES 2015: 613-622 - [c88]Kyoji Kawagoe, Carson Kai-Sang Leung:
Similarities of Frequent Following Patterns and Social Entities. KES 2015: 642-651 - [c87]Quazi Marufur Rahman, Anna Fariha, Amit Mandal, Chowdhury Farhan Ahmed, Carson K. Leung:
A Sliding Window-Based Algorithm for Detecting Leaders from Social Network Action Streams. WI-IAT (1) 2015: 133-136 - [c86]Richard Kyle MacKinnon, Carson K. Leung:
Stock Price Prediction in Undirected Graphs Using a Structural Support Vector Machine. WI-IAT (1) 2015: 548-555 - [e3]Carson K. Leung, Aziz Nasridinov, Jongsup Choi, Sun Hwa Han, Joo-Yeoun Lee, Taeho Park, Yoo-Sung Kim, Young-Koo Lee:
Proceedings of the 2015 International Conference on Big Data Applications and Services, BigDAS '15, Jeju Island, Republic of Korea, October 20-23, 2015. ACM 2015, ISBN 978-1-4503-3846-2 [contents] - 2014
- [j13]Alfredo Cuzzocrea, Carson Kai-Sang Leung, Richard Kyle MacKinnon:
Mining constrained frequent itemsets from distributed uncertain data. Future Gener. Comput. Syst. 37: 117-126 (2014) - [j12]Syed Khairuzzaman Tanbeer, Carson Kai-Sang Leung, Juan J. Cameron:
Interactive Mining of Strong Friends from Social Networks and its Applications in E-Commerce. J. Organ. Comput. Electron. Commer. 24(2-3): 157-173 (2014) - [j11]Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer, Juan J. Cameron:
Interactive discovery of influential friends from social networks. Soc. Netw. Anal. Min. 4(1): 154 (2014) - [c85]Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang:
Distributed Uncertain Data Mining for Frequent Patterns Satisfying Anti-monotonic Constraints. AINA Workshops 2014: 1-6 - [c84]Alfredo Cuzzocrea, Fan Jiang, Wookey Lee, Carson Kai-Sang Leung:
Efficient Frequent Itemset Mining from Dense Data Streams. APWeb 2014: 593-601 - [c83]Carson Kai-Sang Leung, Fan Jiang:
A Data Science Solution for Mining Interesting Patterns from Uncertain Big Data. BDCloud 2014: 235-242 - [c82]Fan Jiang, Carson Kai-Sang Leung, Dacheng Liu, Aaron M. Peddle:
Discovery of Really Popular Friends from Social Networks. BDCloud 2014: 342-349 - [c81]Wookey Lee, Carson Kai-Sang Leung, Justin JongSu Song:
Reducing Noises for Recall-Oriented Patent Retrieval. BDCloud 2014: 579-586 - [c80]Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang:
Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data. BigData Congress 2014: 315-322 - [c79]Carson Kai-Sang Leung, Richard Kyle MacKinnon:
BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining. DaWaK 2014: 115-123 - [c78]Fan Jiang, Carson Kai-Sang Leung:
Mining Interesting "Following" Patterns from Social Networks. DaWaK 2014: 308-319 - [c77]Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung:
Frequent Pattern Mining from Dense Graph Streams. EDBT/ICDT Workshops 2014: 240-247 - [c76]Alfredo Cuzzocrea, Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
Mining of Diverse Social Entities from Linked Data. EDBT/ICDT Workshops 2014: 269-274 - [c75]Fan Jiang, Carson Kai-Sang Leung:
A Business Intelligence Solution for Frequent Pattern Mining on Social Networks. ICDM Workshops 2014: 789-796 - [c74]Carson Kai-Sang Leung, Richard Kyle MacKinnon:
Fast Algorithms for Frequent Itemset Mining from Uncertain Data. ICDM 2014: 893-898 - [c73]Richard Kyle MacKinnon, Teagan D. Strauss, Carson Kai-Sang Leung:
DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds. ICDM Workshops 2014: 1038-1045 - [c72]Carson Kai-Sang Leung, Richard Kyle MacKinnon, Yang Wang:
A machine learning approach for stock price prediction. IDEAS 2014: 274-277 - [c71]Peter Braun, Alfredo Cuzzocrea, Carson Kai-Sang Leung, Richard Kyle MacKinnon, Syed Khairuzzaman Tanbeer:
A Tree-based Algorithm for Mining Diverse Social Entities. KES 2014: 223-232 - [c70]Carson Kai-Sang Leung, Richard Kyle MacKinnon, Syed Khairuzzaman Tanbeer:
Tightening Upper Bounds to the Expected Support for Uncertain Frequent Pattern Mining. KES 2014: 328-337 - [c69]Peter Braun, Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung:
Effectively and Efficiently Mining Frequent Patterns from Dense Graph Streams on Disk. KES 2014: 338-347 - [c68]Carson Kai-Sang Leung, Kyle W. Joseph:
Sports Data Mining: Predicting Results for the College Football Games. KES 2014: 710-719 - [c67]Richard Kyle MacKinnon, Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
A Scalable Data Analytics Algorithm for Mining Frequent Patterns from Uncertain Data. PAKDD Workshops 2014: 404-416 - [c66]Fan Jiang, Carson Kai-Sang Leung, Richard Kyle MacKinnon:
BigSAM: Mining Interesting Patterns from Probabilistic Databases of Uncertain Big Data. PAKDD Workshops 2014: 780-792 - [p1]Carson Kai-Sang Leung:
Uncertain Frequent Pattern Mining. Frequent Pattern Mining 2014: 339-367 - 2013
- [j10]Carson Kai-Sang Leung, Christopher L. Carmichael, Patrick Johnstone, David Sonny Hung-Cheung Yuen:
Interactive Visual Analytics of Databases and Frequent Sets. Int. J. Inf. Retr. Res. 3(4): 120-140 (2013) - [j9]Carson Kai-Sang Leung, Alfredo Cuzzocrea, Fan Jiang:
Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models. Trans. Large Scale Data Knowl. Centered Syst. 8: 174-196 (2013) - [c65]Syed Khairuzzaman Tanbeer, Carson Kai-Sang Leung:
Finding Diverse Friends in Social Networks. APWeb 2013: 301-309 - [c64]Syed Khairuzzaman Tanbeer, Fan Jiang, Carson Kai-Sang Leung, Richard Kyle MacKinnon, Irish J. M. Medina:
Finding groups of friends who are significant across multiple domains in social networks. CASoN 2013: 21-26 - [c63]Carson Kai-Sang Leung, Yaroslav Hayduk:
Mining Frequent Patterns from Uncertain Data with MapReduce for Big Data Analytics. DASFAA (1) 2013: 440-455 - [c62]Fan Jiang, Carson Kai-Sang Leung:
Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data. DaWaK 2013: 209-221 - [c61]Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data. PAKDD (1) 2013: 13-25 - [c60]Anna Fariha, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung, S. M. Abdullah, Longbing Cao:
Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs. PAKDD (1) 2013: 38-49 - [c59]Juan J. Cameron, Alfredo Cuzzocrea, Carson Kai-Sang Leung:
Stream mining of frequent sets with limited memory. SAC 2013: 173-175 - [c58]Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung:
Mining Frequent Itemsets from Sparse Data Streams in Limited Memory Environments. WAIM 2013: 51-57 - 2012
- [c57]Syed Khairuzzaman Tanbeer, Carson Kai-Sang Leung, Juan J. Cameron:
DIFSoN: Discovering influential friends from social networks. CASoN 2012: 120-125 - [c56]Fan Jiang, Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
Finding Popular Friends in Social Networks. CGC 2012: 501-508 - [c55]Wookey Lee, Carson Kai-Sang Leung, Justin JongSu Song, Chris Soo-Hyun Eom:
A Network-Flow Based Influence Propagation Model for Social Networks. CGC 2012: 601-608 - [c54]Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
Mining Social Networks for Significant Friend Groups. DASFAA Workshops 2012: 180-192 - [c53]Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
Fast Tree-Based Mining of Frequent Itemsets from Uncertain Data. DASFAA (1) 2012: 272-287 - [c52]Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
Mining Popular Patterns from Transactional Databases. DaWaK 2012: 291-302 - [c51]Nidhi R. Arora, Wookey Lee, Carson Kai-Sang Leung, Jin-Ho Kim, Harshit Kumar:
Efficient Fuzzy Ranking for Keyword Search on Graphs. DEXA (1) 2012: 502-510 - [c50]Carson Kai-Sang Leung, Fan Jiang, Lijing Sun, Yan Wang:
A constrained frequent pattern mining system for handling aggregate constraints. IDEAS 2012: 14-23 - [c49]Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer, Bhavek P. Budhia, Lauren C. Zacharias:
Mining probabilistic datasets vertically. IDEAS 2012: 199-204 - [c48]Alfredo Cuzzocrea, Carson Kai-Sang Leung:
Efficiently Compressing OLAP Data Cubes via R-Tree Based Recursive Partitions. ISMIS 2012: 455-465 - [c47]Bhavek P. Budhia, Alfredo Cuzzocrea, Carson Kai-Sang Leung:
Vertical Frequent Pattern Mining from Uncertain Data. KES 2012: 1273-1282 - [c46]Carson Kai-Sang Leung, Fan Jiang:
RadialViz: An Orientation-Free Frequent Pattern Visualizer. PAKDD (2) 2012: 322-334 - [c45]Carson Kai-Sang Leung, Lijing Sun:
A new class of constraints for constrained frequent pattern mining. SAC 2012: 199-204 - [c44]Alfredo Cuzzocrea, Carson Kai-Sang Leung:
Frequent Itemset Mining of Distributed Uncertain Data under User-Defined Constraints. SEBD 2012: 243-250 - 2011
- [j8]Wookey Lee, Carson Kai-Sang Leung, James Jung-Hoon Lee:
Mobile Web Navigation in Digital Ecosystems Using Rooted Directed Trees. IEEE Trans. Ind. Electron. 58(6): 2154-2162 (2011) - [j7]Carson Kai-Sang Leung:
Mining uncertain data. WIREs Data Mining Knowl. Discov. 1(4): 316-329 (2011) - [c43]Wookey Lee, Justin JongSu Song, Carson Kai-Sang Leung:
Categorical Data Skyline Using Classification Tree. APWeb 2011: 181-187 - [c42]Juan J. Cameron, Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
Finding Strong Groups of Friends among Friends in Social Networks. DASC 2011: 824-831 - [c41]Carson Kai-Sang Leung, Fan Jiang:
Frequent Pattern Mining from Time-Fading Streams of Uncertain Data. DaWaK 2011: 252-264 - [c40]Carson Kai-Sang Leung, Christopher L. Carmichael, Eu Wern Teh:
Visual Analytics of Social Networks: Mining and Visualizing Co-authorship Networks. HCI (20) 2011: 335-345 - [c39]Alfredo Cuzzocrea, Carson Kai-Sang Leung:
Distributed Mining of Constrained Frequent Sets from Uncertain Data. ICA3PP (1) 2011: 40-53 - [c38]Carson Kai-Sang Leung, Fan Jiang, Pourang P. Irani:
FpMapViz: A Space-Filling Visualization for Frequent Patterns. ICDM Workshops 2011: 804-811 - [c37]Christopher L. Carmichael, Yaroslav Hayduk, Carson Kai-Sang Leung:
Visually Contrast Two Collections of Frequent Patterns. ICDM Workshops 2011: 1128-1135 - [c36]Carson Kai-Sang Leung, Fan Jiang, Yaroslav Hayduk:
A landmark-model based system for mining frequent patterns from uncertain data streams. IDEAS 2011: 249-250 - [c35]Nihad Karim Chowdhury, Carson Kai-Sang Leung:
Improved Travel Time Prediction Algorithms for Intelligent Transportation Systems. KES (2) 2011: 355-365 - [c34]Carson Kai-Sang Leung, Fan Jiang:
Frequent itemset mining of uncertain data streams using the damped window model. SAC 2011: 950-955 - [c33]Carson Kai-Sang Leung, Lijing Sun:
Equivalence class transformation based mining of frequent itemsets from uncertain data. SAC 2011: 983-984 - 2010
- [c32]Carson Kai-Sang Leung, Boyu Hao, Fan Jiang:
Constrained frequent itemset mining from uncertain data streams. ICDE Workshops 2010: 120-127 - [c31]Carson Kai-Sang Leung, Dale A. Brajczuk:
uCFS2: an enhanced system that mines uncertain data for constrained frequent sets. IDEAS 2010: 32-37 - [c30]Hossein Pourreza, Sergio Camorlinga, Carson Kai-Sang Leung, Bruce D. Martin:
An information and communication technology system to support rural healthcare delivery. IHI 2010: 440-444 - [c29]Carson Kai-Sang Leung, Boyu Hao, Dale A. Brajczuk:
Mining uncertain data for frequent itemsets that satisfy aggregate constraints. SAC 2010: 1034-1038 - [c28]Carson Kai-Sang Leung, Christopher L. Carmichael:
Exploring Social Networks: A Frequent Pattern Visualization Approach. SocialCom/PASSAT 2010: 419-424 - [e2]Bipin C. Desai, Carson Kai-Sang Leung, Sudhir P. Mudur:
Canadian Conference on Computer Science & Software Engineering, C3S2E 2010, Montreal, Quebec, Canada, May 19-20, 2010, Proceedings. ACM International Conference Proceeding Series, ACM 2010, ISBN 978-1-60558-901-5 [contents]
2000 – 2009
- 2009
- [j6]Carson Kai-Sang Leung, Christopher L. Carmichael:
FpVAT: a visual analytic tool for supporting frequent pattern mining. SIGKDD Explor. 11(2): 39-48 (2009) - [j5]Carson Kai-Sang Leung, Dale A. Brajczuk:
Efficient algorithms for the mining of constrained frequent patterns from uncertain data. SIGKDD Explor. 11(2): 123-130 (2009) - [c27]Wookey Lee, James Jung-Hoon Lee, Young Kuk Kim, Carson Kai-Sang Leung:
AnchorWoman: top-k structured mobile web search engine. CIKM 2009: 2089-2090 - [c26]Carson Kai-Sang Leung, Boyu Hao:
Mining of Frequent Itemsets from Streams of Uncertain Data. ICDE 2009: 1663-1670 - [c25]Carson Kai-Sang Leung, Dale A. Brajczuk:
Mining uncertain data for constrained frequent sets. IDEAS 2009: 109-120 - [c24]Carson Kai-Sang Leung, Dale A. Brajczuk:
Efficient algorithms for mining constrained frequent patterns from uncertain data. KDD Workshop on Knowledge Discovery from Uncertain Data 2009: 9-18 - [c23]Carson Kai-Sang Leung, Christopher L. Carmichael:
FpViz: a visualizer for frequent pattern mining. KDD Workshop on Visual Analytics and Knowledge Discovery 2009: 30-39 - [e1]Bipin C. Desai, Carson Kai-Sang Leung, Olga Ormandjieva:
Canadian Conference on Computer Science & Software Engineering, C3S2E 2009, Montreal, Quebec, Canada, May 19-21, 2009, Proceedings. ACM International Conference Proceeding Series, ACM 2009, ISBN 978-1-60558-401-0 [contents] - [r6]Carson Kai-Sang Leung:
Constraint-Based Association Rule Mining. Encyclopedia of Data Warehousing and Mining 2009: 307-312 - [r5]Carson Kai-Sang Leung:
Anti-monotone Constraints. Encyclopedia of Database Systems 2009: 98 - [r4]Carson Kai-Sang Leung:
Convertible Constraints. Encyclopedia of Database Systems 2009: 494-495 - [r3]Carson Kai-Sang Leung:
Frequent Itemset Mining with Constraints. Encyclopedia of Database Systems 2009: 1179-1183 - [r2]Carson Kai-Sang Leung:
Monotone Constraints. Encyclopedia of Database Systems 2009: 1769 - [r1]Carson Kai-Sang Leung:
Succinct Constraints. Encyclopedia of Database Systems 2009: 2876 - 2008
- [c22]Carson Kai-Sang Leung, Dale A. Brajczuk:
Efficient Mining of Frequent Itemsets from Data Streams. BNCOD 2008: 2-14 - [c21]Mark Anthony F. Mateo, Carson Kai-Sang Leung:
Design and development of a prototype system for detecting abnormal weather observations. C3S2E 2008: 45-59 - [c20]Boyu Hao, Carson Kai-Sang Leung, Sergio Camorlinga, Martin H. Reed, Martin K. Bunge, Jens Wrogemann, Rick J. Higgins:
A computer-aided change detection system for paediatric acute intracranial haemorrhage. C3S2E 2008: 109-111 - [c19]Carson Kai-Sang Leung, Pourang Irani, Christopher L. Carmichael:
WiFIsViz: Effective Visualization of Frequent Itemsets. ICDM 2008: 875-880 - [c18]Carson Kai-Sang Leung, Dale A. Brajczuk, Jialiang Yu:
Efficient algorithms for stream mining of constrained frequent patterns in a limited memory environment. IDEAS 2008: 189-198 - [c17]Carson Kai-Sang Leung, Pourang Irani, Christopher L. Carmichael:
FIsViz: A Frequent Itemset Visualizer. PAKDD 2008: 644-652 - [c16]Carson Kai-Sang Leung, Mark Anthony F. Mateo, Dale A. Brajczuk:
A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data. PAKDD 2008: 653-661 - 2007
- [j4]Carson Kai-Sang Leung, Quamrul I. Khan, Zhan Li, Tariqul Hoque:
CanTree: a canonical-order tree for incremental frequent-pattern mining. Knowl. Inf. Syst. 11(3): 287-311 (2007) - [c15]Carson Kai-Sang Leung, Christopher L. Carmichael, Boyu Hao:
Efficient Mining of Frequent Patterns from Uncertain Data. ICDM Workshops 2007: 489-494 - [c14]Carson Kai-Sang Leung, Mark Anthony F. Mateo, Andrew J. Nadler:
An EffectiveMulti-Layer Model for Controlling the Quality of Data. IDEAS 2007: 28-36 - 2006
- [c13]Carson Kai-Sang Leung, Ruppa K. Thulasiram, Dmitri A. Bondarenko:
An Efficient System for Detecting Outliers from Financial Time Series. BNCOD 2006: 190-198 - [c12]Carson Kai-Sang Leung, Wookey Lee:
Efficient Update of Data Warehouse Views with Generalised Referential Integrity Differential Files. BNCOD 2006: 199-211 - [c11]Carson Kai-Sang Leung, Quamrul I. Khan, Boyu Hao:
Distributed Mining of Constrained Patterns from Wireless Sensor Data. IAT Workshops 2006: 248-251 - [c10]Carson Kai-Sang Leung, Quamrul I. Khan:
DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams. ICDM 2006: 928-932 - [c9]Carson Kai-Sang Leung, Quamrul I. Khan:
Efficient Mining of Constrained Frequent Patterns from Streams. IDEAS 2006: 61-68 - 2005
- [c8]Carson Kai-Sang Leung, Wookey Lee:
Exploitation of Referential Integrity Constraints for Efficient Update of Data Warehouse Views. BNCOD 2005: 98-110 - [c7]Carson Kai-Sang Leung, Quamrul I. Khan, Tariqul Hoque:
CanTree: A Tree Structure for Efficient Incremental Mining of Frequent Patterns. ICDM 2005: 274-281 - 2004
- [c6]Carson Kai-Sang Leung:
Dynamic FP-Tree Based Mining of Frequent Patterns Satisfying Succinct Constraints. CDB 2004: 117-132 - [c5]Carson Kai-Sang Leung:
Efficient Parallel Mining of Constrained Frequent Patterns. HPCS 2004: 73-82 - [c4]Carson Kai-Sang Leung:
Interactive Constrained Frequent-Pattern Mining System. IDEAS 2004: 49-58 - 2003
- [j3]Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng:
Efficient dynamic mining of constrained frequent sets. ACM Trans. Database Syst. 28(4): 337-389 (2003) - 2002
- [j2]Carson Kai-Sang Leung, Laks V. S. Lakshmanan, Raymond T. Ng:
Exploiting succinct constraints using FP-trees. SIGKDD Explor. 4(1): 40-49 (2002) - [c3]Carson Kai-Sang Leung, Raymond T. Ng, Heikki Mannila:
OSSM: A Segmentation Approach to Optimize Frequency Counting. ICDE 2002: 583-592 - 2000
- [j1]Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng:
The Segment Support Map: Scalable Mining of Frequent Itemsets. SIGKDD Explor. 2(2): 21-27 (2000)
1990 – 1999
- 1998
- [c2]Carson Kai-Sang Leung, Raymond T. Ng:
Multiresolution Subimage Similarity Matching for Large Image Databases. Storage and Retrieval for Image and Video Databases (SPIE) 1998: 259-270 - [c1]Carson Kai-Sang Leung, Raymond T. Ng:
Multiscale Similarity Matching for Subimage Queries of Arbitrary Size. VDB 1998: 243-264
Coauthor Index
[c308] [c307] [c306] [c295] [i5] [c294] [c288] [c287] [c286] [i2] [c265] [c258] [c254] [c253] [c251] [c250] [c247] [c245] [c244] [c241] [c234] [j30] [c228] [c221] [c220] [c218] [c216] [c212] [c211] [c201] [c197] [c196] [c191] [c187] [c186] [c183] [c182] [c181] [c177] [c173] [c172] [j23] [c167] [c166] [c164] [c163] [c161] [c159] [c158] [c157] [c153] [c151] [c144] [c140] [c139] [c138] [c137] [c135] [c133] [c131] [c130] [c126] [c125] [c123] [c122] [c119] [j17] [c108] [c106] [c105] [j14] [c97] [c95] [c91] [c90] [c89] [j13] [c84] [c77] [c76] [c71] [c69] [j9] [c59] [c58] [c48] [c47] [c44] [c39]
[c295] [c241] [c201] [c190] [c183] [c170] [c169] [c166] [c151] [c128] [j20] [c127] [c126] [c120] [j19] [c117] [c116] [c115] [c114] [c112] [c111] [c108] [c103] [c102] [c101] [j16] [j14] [c96] [c93] [c92] [c91] [c90] [c85] [c84] [c83] [c82] [c80] [c78] [c77] [c75] [c69] [c66] [j9] [c64] [c62] [c58] [c56] [c50] [c46] [c41] [c38] [c36] [c34] [c32]
Evan Madill
aka: Evan W. R. Madill
aka: Evan W. R. Madill
[c314] [c313] [c301] [c297] [c292] [c284] [c283] [c281] [c279] [c277] [c276] [c275] [c273] [c272] [c266] [c263] [c257] [c249] [c247] [c236] [c235] [c231] [c230] [c216] [c215] [c213] [c212] [c195] [c179] [c164] [c155] [c145] [c144] [c142] [c138] [c136] [c130] [c126] [c122] [c120] [j19] [c118] [c116] [c112] [c111] [c109] [c105] [c103] [c102]
Nguyen Duy Thong Tran
aka: Nguyen Duy Thong Jase Tran
aka: Nguyen Duy Thong Jase Tran
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-07-02 18:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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the dblp computer science bibliography is funded and supported by:
