Carson K. Leung
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
125
Venues
31
Active years
2015–2026
Best venue rank
B
Where they publish
- BCOMPSAC14 papers
- CIV13 papers
- BDaWaK10 papers
- BKES9 papers
- BAINA8 papers
- CIDEAS8 papers
- CDASC8 papers
- BDSAA6 papers
- NationalIRI4 papers
- UnrankedEUSPN4 papers
- BPAKDD4 papers
- CDEXA3 papers
- BICTAI3 papers
- BTrustCom3 papers
- CAPWEB3 papers
- CHPCC3 papers
- CBIBE2 papers
- CICCSA2 papers
- CUIC2 papers
- CISPA2 papers
- BCCGRID2 papers
- CIDEAL2 papers
- CICMLA2 papers
- AEASE1 paper
- BCBMS1 paper
- CHealthCom1 paper
- BIJCNN1 paper
- NationalCISIS1 paper
- CFQAS1 paper
- CIIWAS1 paper
- CIPMU1 paper
Papers
125 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COMPSAC | From Rail to Resilience: Managing and Analyzing Big Railway Data in Supporting Urban Analytics. | Savan P. Golakiya, Carson K. Leung, Maitrik Rajai, Alfredo Cuzzocrea |
| 2026 | COMPSAC | From Data to Touchdowns: Management, Sports Analytics, and Forecasting in Professional American Football. | Max Kaplan, Carson K. Leung, Alfredo Cuzzocrea |
| 2026 | DaWaK | ANNOYing HDBSCAN for Clustering. | Ben M. Clark, Ginelle K. Elias, Carson K. Leung, Adam G. M. Pazdor, Thamira M. Randeniya, Xavier J. Schneider |
| 2026 | DaWaK | Q-dEclat: A Vertical Quantitative Frequent Pattern Mining Algorithm. | Carson K. Leung, Adam G. M. Pazdor |
| 2025 | DaWaK | An Enhanced FP-Growth Algorithm with Hybrid Adaptive Support Threshold for Association Rule Mining. | Kanda Runapongsa Saikaew, Carson K. Leung, Kritbodin Phiwhorm |
| 2025 | DEXA | A Hybrid Data Model to Support Transportation Analytics of Emergency Service Vehicles. | Carson K. Leung |
| 2025 | EASE | A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection. | Seyed Shayan Daneshvar, Da Tan, Shaowei Wang, Carson K. Leung |
| 2025 | IV | An Environmental Analytics Solution for Visualizing Clusters of Wildfires. | Bilal A. Ayoub, Connor C. J. Hryhoruk, Carson K. Leung, Jethro A. Swanson, Kate L. Walley, Henry Wong |
| 2025 | IV | Information Visualization for Transportation Analytics. | Frieda Bi, Christopher Z. Eu, Connor C. J. Hryhoruk, Carson K. Leung, Maria Luisa Maranhao Costa Barros Correia, Shanaya C. McMillan |
| 2025 | IV | A Solution for Explainable AI and Visual Knowledge Discovery. | Connor C. J. Hryhoruk, Carson K. Leung, Adam G. M. Pazdor |
| 2024 | AINA | Anomaly Detection with Generalized Isolation Forest. | Brett E. Downey, Carson K. Leung, Adam G. M. Pazdor, Ryan A. L. Petrillo, Denys Popov, Benjamin R. Schneider |
| 2024 | AINA | Multi-level Frequent Pattern Mining on Pipeline Incident Data. | Connor C. J. Hryhoruk, Carson K. Leung, Jingyuan Li, Brandon A. Narine, Felix Wedel |
| 2024 | COMPSAC | An Environmental Data Science Solution for Data Analytics Exploration of Traffic Interaction on Air Quality. | Garik Avagyan, Juan C. Armijos, Carson K. Leung, Jasmine J. Tabuzo, Aivee F. Teodocio, Alfredo Cuzzocrea |
| 2024 | COMPSAC | A Location Analytics Algorithm to Analyze Geographic and Demographic Data for Restaurant Analytics. | Chang Geng, Griffin LaFreniere, Huy Khanh Le, Carson K. Leung, Quinn Chao Wong, Alfredo Cuzzocrea |
| 2024 | DSAA | A Metaverse Platform for Air Pollution Analysis in Supporting Smart and Sustainable City Development. | Juan C. Armijos, Garik Avagyan, Carson K. Leung, Jasmine J. Tabuzo, Aivee F. Teodocio |
| 2024 | IDEAS | A Database Engineered System for Big Data Analytics on Tornado Climatology. | Fengfan Bian, Carson K. Leung, Piers Grenier, Harry Pu, Samuel Ning |
| 2024 | IV | A Visual Analytics Solution for Analyzing and Mining Infectious Disease Data. | Daxuan Chen, Tristan S. Dyck, Carson K. Leung, Trevor D. Neudorf, Linpu Zhang |
| 2024 | IV | Visual Analytics of Motor Vehicle Accidents. | Roland Fehr, Jonathan Lee, Carson K. Leung, Ning Liu, Xin Nie |
| 2024 | IV | An Explainable Artificial Intelligence Solution for the Practical Application of Employee Turnover. | Carson K. Leung, Rayan Imran, Adam G. M. Pazdor, Joglas Souza |
| 2023 | AINA | Sports Data Mining for Cricket Match Prediction. | Antony Anuraj, Gurtej S. Boparai, Carson K. Leung, Evan W. R. Madill, Darshan A. Pandhi, Ayush Dilipkumar Patel, Ronak K. Vyas |
| 2023 | AINA | Big Data Management for Machine Learning from Big Data. | Anifat M. Olawoyin, Carson K. Leung, Connor C. J. Hryhoruk, Alfredo Cuzzocrea |
| 2023 | BIBE | A Novel Deep Learning Approach for Breast Cancer Detection on Screening Mammography. | Carson K. Leung, Hoang Hai Nguyen |
| 2023 | COMPSAC | Evolution of Big Data Models from Hierarchical Models to Knowledge Graphs. | Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea |
| 2023 | COMPSAC | Privacy Preservation of Big Spatio-Temporal Co-occurrence Data. | Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea |
| 2023 | DASC | Efficient Vertical Mining of Frequent Quantitative Patterns. | Thomas J. Czubryt, Connor C. J. Hryhoruk, Carson K. Leung, Adam G. M. Pazdor |
| 2023 | DASC | Data Analytics for Dependable Transportation Systems in a Smart City. | Nhu Minh Ngoc Pham, Yixi Wu, Carson K. Leung, Mohammadafaz V. Munshi, Vrushil Kiritkumar Patel |
| 2023 | DaWaK | Bitwise Vertical Mining of Minimal Rare Patterns. | Elieser Capillar, Chowdhury Abdul Mumin Ishmam, Carson K. Leung, Adam G. M. Pazdor, Prabhanshu Shrivastava, Ngoc Bao Chau Truong |
| 2023 | DSAA | Privacy-Preserving Learning via Data and Knowledge Distillation. | Fahim Faisal, Carson K. Leung, Noman Mohammed, Yang Wang |
| 2023 | DSAA | Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit. | Jiaxing Jason Mai, Carson K. Leung, Connor C. J. Hryhoruk, Adam G. M. Pazdor |
| 2023 | DSAA | Machine Learning-Based Android Malware Detection. | David Ojo, Nusayer Masud Siddique, Carson K. Leung, Connor C. J. Hryhoruk |
| 2023 | IRI | A Transportation Analytic Solution for Predicting Flight Cancellations. | Shawn J. Lanting, Carson K. Leung, Khush Bhrugesh Patel, Sanskar Raval, Liza Yashin |
| 2023 | IRI | A Data Science Solution for Analyzing Long COVID Cases. | Da Tan, Carson K. Leung, Katrina Dotzlaw, Ryan Dotzlaw, Adam G. M. Pazdor, Sean Szturm |
| 2023 | ICTAI | Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks. | A. M. Aahad, Khondker Bin Yamin, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Evan W. R. Madill, Adam G. M. Pazdor |
| 2023 | IDEAS | Discovery of Patent Influence with Directed Acyclic Graph Network Analysis. | Carson K. Leung |
| 2023 | IV | A Data Discovery and Visualization Tool for Visual Analytics of Time Series in Digital Agriculture. | Jasmin K. Dhaliwal, Megan E. Galbraith, Carson K. Leung, Da Tan |
| 2023 | IV | Visual Knowledge Discovery from Public Transit Performance Data. | Carson K. Leung, Mohammadafaz V. Munshi, Vrushil Kiritkumar Patel, Nhu Minh Ngoc Pham, Yixi Wu |
| 2023 | TrustCom | A Big Data Science and Engineering Solution for Transit Performance Analytics. | Nhu Minh Ngoc Pham, Yixi Wu, Carson K. Leung, Mohammadafaz V. Munshi, Vrushil Kiritkumar Patel, Connor C. J. Hryhoruk |
| 2023 | TrustCom | Personalized Privacy-Preserving Semi-Centralized Recommendation System in a Trust-Based Agent Network. | Qi Wen, Carson K. Leung, Adam G. M. Pazdor |
| 2022 | AINA | Mining for Fake News. | Renz M. Cabusas, Brenna N. Epp, Justin M. Gouge, Tyson N. Kaufmann, Carson K. Leung, James R. A. Tully |
| 2022 | AINA | Sports Data Management, Mining, and Visualization. | Bamibo C. Isichei, Carson K. Leung, Lam Thu Nguyen, Luke B. Morrow, Anh Tuan Ngo, Trang Doan Pham, Alfredo Cuzzocrea |
| 2022 | CBMS | Deep Learning Based Multi-Label Prediction of Hospitalization for COVID-19 Cases. | Carson K. Leung, Thanh Huy Daniel Mai, Nguyen Duy Thong Jase Tran |
| 2022 | COMPSAC | Mining Popular Topics from the Media. | Kyle R. Boch, Freyja C. Kristjanson, Carson K. Leung, Yu Liu, Andrea M. Unrau, Shuai April Zhang, Alfredo Cuzzocrea |
| 2022 | COMPSAC | Predictive Analytics for Supporting Environmental Sustainability and Disaster Management. | Adam B. Bouttell, Sijin Lee, Carson K. Leung, Martin J. Levesque, Seunggon Son, Weihong Zhang, Alfredo Cuzzocrea |
| 2022 | COMPSAC | A Data Science Solution for Mining Weather Data and Transportation Data for Smart Cities. | Ben Nguyen, Mark J. D. Shinnie, Carson K. Leung, Michael R. Kuzie, Nikola N. Kokilev, Sukhmandeep Kaur |
| 2022 | DASC | Effectively and Efficiently Supporting Predictive Big Data Analytics over Open Big Data in the Transportation Sector: A Bayesian Network Framework. | Alfredo Cuzzocrea, Carson K. Leung, Mojtaba Hajian, Marshall D. Jackson |
| 2022 | DASC | OLAP over Big COVID-19 Data: A Real-Life Case Study. | Alfredo Cuzzocrea, Carson K. Leung, Selim Soufargi, Carmine Gallo, Siyuan Shang, Yubo Chen |
| 2022 | DaWaK | Mahalanobis Distance Based K-Means Clustering. | Paul O. Brown, Meng Ching Chiang, Shiqing Guo, Yingzi Jin, Carson K. Leung, Evan L. Murray, Adam G. M. Pazdor, Alfredo Cuzzocrea |
| 2022 | DaWaK | Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns. | Thomas J. Czubryt, Carson K. Leung, Adam G. M. Pazdor |
| 2022 | DaWaK | Enhanced Sliding Window-Based Periodic Pattern Mining from Dynamic Streams. | Evan W. R. Madill, Carson K. Leung, Justin M. Gouge |
| 2022 | DSAA | Generating Privacy Preserving Synthetic Medical Data. | Fahim Faisal, Noman Mohammed, Carson K. Leung, Yang Wang |
| 2022 | HealthCom | Trustworthy Explanations for Knowledge Discovered from E-Health Records. | Bikramjit Singh Dhaliwal, Rayan Imran, Carson K. Leung, Evan W. R. Madill |
| 2022 | ICCSA | Effectively and Efficiently Supporting Visual Big Data Analytics over Big Sequential Data: An Innovative Data Science Approach. | Alfredo Cuzzocrea, Majid Abbasi Sisara, Carson K. Leung, Yan Wen, Fan Jiang |
| 2022 | IRI | A Regression-Based Data Science Solution for Transportation Analytics. | Juhee Kim, Carson K. Leung, Nguyen Duy Thong Jase Tran, Tanisha Turner |
| 2022 | IRI | Analysis of Multi-Dimensional Road Accident Data for Disaster Management in Smart Cities. | Michael Kolisnyk, Matthew Kwiatkowski, Carson K. Leung, Benjamin J. Zacharias |
| 2022 | IDEAS | Q-Eclat: Vertical Mining of Interesting Quantitative Patterns. | Thomas James Czubryt, Carson K. Leung, Adam G. M. Pazdor |
| 2022 | IV | Data. Information and Knowledge Visualization for Frequent Patterns. | Calvin S. H. Hoi, Carson K. Leung, Adam G. M. Pazdor |
| 2022 | IV | Visualization and Visual Knowledge Discovery from Big Uncertain Data. | Carson K. Leung, Evan W. R. Madill, Adam G. M. Pazdor |
| 2021 | AINA | A Big Data Science Solution for Analytics on Moving Objects. | Isabelle M. Anderson-Grgoire, Kaitlyn A. Horner, Carson K. Leung, Delica S. Leboe-McGowan, Anifat M. Olawoyin, Beni Reydman, Alfredo Cuzzocrea |
| 2021 | APWEB | Privacy-Preserving Healthcare Analytics of Trajectory Data. | Carson K. Leung, Anifat M. Olawoyin, Qi Wen |
| 2021 | BIBE | Predictive Analytics to Support Health Informatics on COVID-19 Data. | Carson K. Leung, Thanh Huy Daniel Mai, Nguyen Duy Thong Tran, Christine Y. Zhang |
| 2021 | COMPSAC | A Data Science Solution for Supporting Social and Economic Analysis. | Yubo Chen, Carson K. Leung, Hao Li, Siyuan Shang, Wanmeng Wang, Zhi Zheng |
| 2021 | COMPSAC | A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data. | Marshall D. Jackson, Carson K. Leung, M. Diarra B. Mbacke, Alfredo Cuzzocrea |
| 2021 | COMPSAC | Distributed Big Data Computing for Supporting Predictive Analytics of Service Requests. | Tianlei Wang, James D. Harvey, Carson K. Leung, Adam G. M. Pazdor, Animesh Singh Chauhan, Lihe Fan, Alfredo Cuzzocrea |
| 2021 | DASC | Analyzing COVID-19 Epidemiological Data. | Chenru Zhao, Carson K. Leung, Adam G. M. Pazdor, Qi Wen |
| 2021 | DaWaK | Health Analytics on COVID-19 Data with Few-Shot Learning. | Carson K. Leung, Daryl L. X. Fung, Calvin S. H. Hoi |
| 2021 | DSAA | Explainable Artificial Intelligence for Data Science on Customer Churn. | Carson K. Leung, Adam G. M. Pazdor, Joglas Souza |
| 2021 | EUSPN | Predictive Big Data Analytics for Service Requests: A Framework. | Animesh Singh Chauhan, Alfredo Cuzzocrea, Lihe Fan, James D. Harvey, Carson K. Leung, Adam G. M. Pazdor, Tianlei Wang |
| 2021 | EUSPN | Supporting Privacy-Preserving Big Data Analytics on Temporal Open Big Data. | Alfredo Cuzzocrea, Carson K. Leung, Anifat M. Olawoyin, Edoardo Fadda |
| 2021 | HPCC | Big Data Mining on Health Informatics Data for Cities. | Carson K. Leung, Qi Wen, Chenru Zhao |
| 2021 | IJCNN | Predictive Analytics of COVID-19 with Neural Networks. | Daryl L. X. Fung, Calvin S. H. Hoi, Carson K. Leung, Christine Y. Zhang |
| 2021 | IDEAS | Explainable Data Analytics for Disease and Healthcare Informatics. | Carson K. Leung, Daryl L. X. Fung, Daniel Mai, Qi Wen, Jason Tran, Joglas Souza |
| 2021 | IV | A Visual Data Science Solution for Visualization and Visual Analytics of Big Sequential Data. | Carson K. Leung, Yan Wen, Chenru Zhao, Hao Zheng, Fan Jiang, Alfredo Cuzzocrea |
| 2021 | PAKDD | Mining Frequent Patterns from Hypergraph Databases. | Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung |
| 2021 | PAKDD | Discriminating Frequent Pattern Based Supervised Graph Embedding for Classification. | Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung |
| 2021 | PAKDD | Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure. | Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson K. Leung |
| 2021 | UIC | Smart City Transportation Data Analytics with Conceptual Models and Knowledge Graphs. | Connor C. J. Hryhoruk, Carson K. Leung, Yan Wen, Hao Zheng |
| 2021 | UIC | Scalable Mining of Big Data. | Carson K. Leung, Adam G. M. Pazdor, Hao Zheng |
| 2020 | AINA | An Innovative Big Data Predictive Analytics Framework over Hybrid Big Data Sources with an Application for Disease Analytics. | Joglas Souza, Carson K. Leung, Alfredo Cuzzocrea |
| 2020 | DEXA | Privacy-Preserving Spatio-Temporal Patient Data Publishing. | Anifat M. Olawoyin, Carson K. Leung, Ratna Choudhury |
| 2020 | EUSPN | A Combined Deep-Learning and Transfer-Learning Approach for Supporting Social Influence Prediction. | Alfredo Cuzzocrea, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai, Fan Jiang, Edoardo Fadda |
| 2020 | EUSPN | An Effective and Efficient Technique for Supporting Privacy-Preserving Keyword-Based Search over Encrypted Data in Clouds. | Alfredo Cuzzocrea, Carson K. Leung, Bryan H. Wodi, S. Sourav, Edoardo Fadda |
| 2020 | HPCC | Prediction of Food Preparation Time for Smart City. | Calvin S. H. Hoi, Carson K. Leung, Joglas Souza |
| 2020 | HPCC | Spatial Data Science of COVID-19 Data. | Siyuan Shang, Carson K. Leung, Yubo Chen, Adam G. M. Pazdor |
| 2020 | IDEAS | Data science for healthcare predictive analytics. | Carson K. Leung, Daryl L. X. Fung, Saad B. Mushtaq, Owen T. Leduchowski, Robert Luc Bouchard, Hui Jin, Alfredo Cuzzocrea, Christine Y. Zhang |
| 2020 | ISPA | Temporal Data Analytics on COVID-19 Data with Ubiquitous Computing. | Yubo Chen, Carson K. Leung, Siyuan Shang, Qi Wen |
| 2020 | ISPA | Identifying the Right Person in Social Networks with Double Metaphone Codes. | Joshua D. Hamilton, Carson K. Leung, Sehaj Pal Singh |
| 2020 | IV | Big Data Visualization and Visual Analytics of COVID-19 Data. | Carson K. Leung, Yubo Chen, Calvin S. H. Hoi, Siyuan Shang, Yan Wen, Alfredo Cuzzocrea |
| 2020 | KES | Predictive analytics on open big data for supporting smart transportation services. | Paul Patrick F. Balbin, Jackson C. R. Barker, Carson K. Leung, Marvin Tran, Riley P. Wall, Alfredo Cuzzocrea |
| 2019 | CCGRID | Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives. | Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza, Syed Khairuzzaman Tanbeer |
| 2019 | CISIS | An Intelligent Predictive Analytics System for Transportation Analytics on Open Data Towards the Development of a Smart City. | Abdul-Rasheed A. Audu, Alfredo Cuzzocrea, Carson K. Leung, Keaton A. MacLeod, Nibrasul I. Ohin, Nadge C. Pulgar-Vidal |
| 2019 | DASC | Big Data Analytics for Personalized Recommendation Systems. | Carson K. Leung, Abhishek Kajal, Yeyoung Won, Justin M. C. Choi |
| 2019 | DaWaK | Urban Analytics of Big Transportation Data for Supporting Smart Cities. | Carson K. Leung, Peter Braun, Calvin S. H. Hoi, Joglas Souza, Alfredo Cuzzocrea |
| 2019 | FQAS | A Flexible Query Answering System for Movie Analytics. | Carson K. Leung, Lucas B. Eckhardt, Amanjyot Singh Sainbhi, Cong Thanh Kevin Tran, Qi Wen, Wookey Lee |
| 2019 | IIWAS | A Theoretical Approach to Discover Mutual Friendships from Social Graph Networks. | Sehaj Pal Singh, Carson K. Leung, Fan Jiang, Alfredo Cuzzocrea |
| 2019 | IDEAL | An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments. | Alfredo Cuzzocrea, Enzo Mumolo, Carson K. Leung, Giorgio Mario Grasso |
| 2019 | IDEAS | Pattern mining for knowledge discovery. | Carson K. Leung |
| 2018 | COMPSAC | An Accurate Model for Hurricane Trajectory Prediction. | Taylor S. Cox, Calvin S. H. Hoi, Carson K. Leung, Caden R. Marofke |
| 2018 | DaWaK | Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities. | Carson K. Leung, Peter Braun, Adam G. M. Pazdor |
| 2018 | DEXA | Scalable Vertical Mining for Big Data Analytics of Frequent Itemsets. | Carson K. Leung, Hao Zhang, Joglas Souza, Wookey Lee |
| 2018 | ICCSA | An Innovative Framework for Supporting Frequent Pattern Mining Problems in IoT Environments. | Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Syed Khairuzzaman Tanbeer, Giorgio Mario Grasso |
| 2018 | ICMLA | Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data. | Kyle J. Morris, Sean D. Egan, Jorell L. Linsangan, Carson K. Leung, Alfredo Cuzzocrea, Calvin S. H. Hoi |
| 2018 | IV | Big Data Visualisation and Visual Analytics for Music Data Mining. | Katrina E. Barkwell, Alfredo Cuzzocrea, Carson K. Leung, Ashley A. Ocran, Jennifer M. Sanderson, James Ayrton Stewart, Bryan H. Wodi |
| 2018 | KES | Item-centric mining of frequent patterns from big uncertain data. | Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza |
| 2018 | KES | Data analytics on the board game Go for the discovery of interesting sequences of moves in joseki. | Carson K. Leung, Felix Kanke, Alfredo Cuzzocrea |
| 2018 | KES | Spark-based data analytics of sequence motifs in large omics data. | Oluwafemi A. Sarumi, Carson K. Leung, Adebayo O. Adetunmbi |
| 2018 | PAKDD | WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases. | Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Calvin S. H. Hoi |
| 2017 | ICMLA | A Machine Learning Tool for Supporting Advanced Knowledge Discovery from Chess Game Data. | James A. Brown, Alfredo Cuzzocrea, Michael Kresta, Korbin D. L. Kristjanson, Carson K. Leung, Timothy W. Tebinka |
| 2017 | IDEAS | Social Media Mining: Prediction of Box Office Revenue. | Deepankar Choudhery, Carson K. Leung |
| 2017 | KES | Enhanced Prediction of User-Preferred YouTube Videos Based on Cleaned Viewing Pattern History. | Peter Braun, Alfredo Cuzzocrea, Lam M. V. Doan, Suyoung Kim, Carson K. Leung, Jose Francisco A. Matundan, Rashpal Robby Singh |
| 2017 | KES | Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds. | Peter Braun, Alfredo Cuzzocrea, Timothy D. Keding, Carson K. Leung, Adam G. M. Pazdor, Dell Sayson |
| 2017 | TrustCom | A Data Science and Engineering Solution for Fast K-Means Clustering of Big Data. | Karl E. Dierckens, Adrian B. Harrison, Carson K. Leung, Adrienne V. Pind |
| 2016 | APWEB | B-mine: Frequent Pattern Mining and Its Application to Knowledge Discovery from Social Networks. | Fan Jiang, Carson K. Leung, Hao Zhang |
| 2016 | CCGRID | Management of Distributed Big Data for Social Networks. | Carson K. Leung, Hao Zhang |
| 2016 | DASC | A Data Science Model for Big Data Analytics of Frequent Patterns. | Carson K. Leung, Fan Jiang, Hao Zhang, Adam G. M. Pazdor |
| 2016 | DASC | PyramidViz: Visual Analytics and Big Data Visualization for Frequent Patterns. | Carson K. Leung, Vadim V. Kononov, Adam G. M. Pazdor, Fan Jiang |
| 2016 | IPMU | Computing Theoretically-Sound Upper Bounds to Expected Support for Frequent Pattern Mining Problems over Uncertain Big Data. | Alfredo Cuzzocrea, Carson K. Leung |
| 2016 | ICTAI | Reframing in Clustering. | Md. Naimul Hoque, Chowdhury Farhan Ahmed, Nicolas Lachiche, Carson K. Leung, Hao Zhang |
| 2016 | ICTAI | An Efficient Approach for Mining Frequent Patterns over Uncertain Data Streams. | Md. Badi-Uz-Zaman Shajib, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor |
| 2016 | IDEAL | Mining Uplink-Downlink User Association in Wireless Heterogeneous Networks. | Alfredo Cuzzocrea, Giorgio Mario Grasso, Fan Jiang, Carson K. Leung |
| 2016 | IDEAS | Clickstream Prediction Using Sequential Stream Mining Techniques with Markov Chains. | Shelby D. Bernhard, Carson K. Leung, Vanessa J. Reimer, Joshua Westlake |
| 2016 | KES | Knowledge Discovery from Social Graph Data. | Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Kimberly Tran |
| 2015 | APWEB | Probabilistic Frequent Pattern Mining by PUH-Mine. | Wenzhu Tong, Carson K. Leung, Dacheng Liu, Jialiang Yu |
| 2015 | COMPSAC | High-Recall Information Retrieval from Linked Big Data. | Alfredo Cuzzocrea, Wookey Lee, Carson K. Leung |
| 2015 | KES | Edge-based Mining of Frequent Subgraphs from Graph Streams. | Alfredo Cuzzocrea, Zhao Han, Fan Jiang, Carson K. Leung, Hao Zhang |
| 2015 | KES | Approximation to Expected Support of Frequent Itemsets in Mining Probabilistic Sets of Uncertain Data. | Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon |