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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
- 2024
[j41]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)- 2023
- [j40]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) - [j39]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) - [j38]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) - [j37]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) - [c282]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 - [c281]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 - [c280]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Evolution of Big Data Models from Hierarchical Models to Knowledge Graphs. COMPSAC 2023: 1325-1330 - [c279]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Privacy Preservation of Big Spatio-Temporal Co-occurrence Data. COMPSAC 2023: 1331-1336 - [c278]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 - [c277]Fahim Faisal, Carson K. Leung, Noman Mohammed, Yang Wang:
Privacy-Preserving Learning via Data and Knowledge Distillation. DSAA 2023: 1-10 - [c276]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 - [c275]David Ojo, Nusayer Masud Siddique, Carson K. Leung, Connor C. J. Hryhoruk:
Machine Learning-Based Android Malware Detection. DSAA 2023: 1-10 - [c274]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 - [c273]Connor C. J. Hryhoruk, Carson K. Leung:
Mining Sequential Patterns with Timelines from Digital Health Data. ICDH 2023: 292-294 - [c272]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 - [c271]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 - [c270]Carson K. Leung:
Discovery of Patent Influence with Directed Acyclic Graph Network Analysis. IDEAS 2023: 17-24 - [c269]Deyu Deng, Carson K. Leung, Adam G. M. Pazdor:
Dynamic Pricing for Parking Facility. INCoS 2023: 136-147 - [c268]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 - [c267]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 - [c266]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 - [c265]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 - [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) - [c264]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 - [c263]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 - [c262]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 - [c261]Connor C. J. Hryhoruk, Carson K. Leung:
Social Network Analysis on Interpretable Compressed Sparse Networks. ASONAM 2022: 324-331 - [c260]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 - [c259]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 - [c258]Anifat M. Olawoyin, Carson K. Leung:
Preserving Privacy Integration and Mining for Big Temporal Co-occurrence Patterns. IEEE Big Data 2022: 3959-3968 - [c257]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 - [c256]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 - [c255]Evan Madill, Ben Nguyen, Carson K. Leung, Sara Rouhani:
ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning. BSCI 2022: 95-106 - [c254]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 - [c253]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 - [c252]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 - [c251]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 - [c250]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 - [c249]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 - [c248]Thomas J. Czubryt, Carson K. Leung, Adam G. M. Pazdor:
Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns. DaWaK 2022: 219-233 - [c247]Evan W. R. Madill, Carson K. Leung, Justin M. Gouge:
Enhanced Sliding Window-Based Periodic Pattern Mining from Dynamic Streams. DaWaK 2022: 234-240 - [c246]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 - [c245]Fahim Faisal, Noman Mohammed, Carson K. Leung, Yang Wang:
Generating Privacy Preserving Synthetic Medical Data. DSAA 2022: 1-10 - [c244]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 - [c243]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 - [c242]Yidong Wei, Carson K. Leung, Cheng Li:
A Rough Set System for Mining from Streaming Data. FUZZ-IEEE 2022: 1-8 - [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]