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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
- 2022
[j35]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)- [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) - [c233]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 - [c232]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 - [c231]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 - [c230]Evan Madill, Ben Nguyen, Carson K. Leung, Sara Rouhani:
ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning. BSCI 2022: 95-106 - [c229]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 - [c228]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 - [e6]Herwig Unger, Young-Kuk Kim, Eenjun Hwang, Sung-Bae Cho, Stephan Pareigis, Kyamakya Kyandoghere, 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(02): 43-53 (2021) - [c227]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 - [c226]Carson K. Leung, Anifat M. Olawoyin, Qi Wen:
Privacy-Preserving Healthcare Analytics of Trajectory Data. APWeb/WAIM (2) 2021: 414-420 - [c225]Connor C. J. Hryhoruk, Carson K. Leung:
Compressing and mining social network data. ASONAM 2021: 545-552 - [c224]Carson K. Leung, Sehaj Pal Singh:
A mathematical model for friend discovery from dynamic social graphs. ASONAM 2021: 569-576 - [c223]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 - [c222]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 - [c221]Carson K. Leung, Yan Wen, Hao Zheng:
Conceptual Modeling and Smart Computing for Big Transportation Data. BigComp 2021: 260-267 - [c220]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Open Data Lake to Support Machine Learning on Arctic Big Data. IEEE BigData 2021: 5215-5224 - [c219]Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Privacy-Preserving Publishing and Visualization of Spatial-Temporal Information. IEEE BigData 2021: 5420-5429 - [c218]Deyu Deng, Carson K. Leung, Chenru Zhao, Yan Wen, Hao Zheng:
Spatial-Temporal Data Science of COVID-19 Data. BigDataSE 2021: 7-14 - [c217]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 - [c216]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 - [c215]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 - [c214]Chenru Zhao, Carson K. Leung, Adam G. M. Pazdor, Qi Wen:
Analyzing COVID-19 Epidemiological Data. DASC/PiCom/CBDCom/CyberSciTech 2021: 985-990 - [c213]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 - [c212]Carson K. Leung, Adam G. M. Pazdor, Joglas Souza:
Explainable Artificial Intelligence for Data Science on Customer Churn. DSAA 2021: 1-10 - [c211]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 - [c210]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 - [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