Knowledge Discovery from Big Social Key-Value Data. - Carson K. Leung; Peter Braun 004; Murun Enkhee; Adam G. M. Pazdor; Oluwafemi A. Sarumi; Kimberly Tran (CIT, 2016)

Big data mining of social networks for friend recommendation. - Fan Jiang 001; Carson K. Leung; Adam G. M. Pazdor (ASONAM, 2016)

A Data Science Model for Big Data Analytics of Frequent Patterns. - Carson K. Leung; Fan Jiang 001; Hao Zhang 027; Adam G. M. Pazdor (DASC/PiCom/DataCom/CyberSciTech, 2016)

PyramidViz: Visual Analytics and Big Data Visualization for Frequent Patterns. - Carson K. Leung; Vadim V. Kononov; Adam G. M. Pazdor; Fan Jiang 001 (DASC/PiCom/DataCom/CyberSciTech, 2016)

An Efficient Approach for Mining Frequent Patterns over Uncertain Data Streams. - Md. Badi-Uz-Zaman Shajib; Md. Samiullah 001; Chowdhury Farhan Ahmed; Carson K. Leung; Adam G. M. Pazdor (ICTAI, 2016)

Knowledge Discovery from Social Graph Data. - Peter Braun 004; Alfredo Cuzzocrea; Carson K. Leung; Adam G. M. Pazdor; Kimberly Tran (KES, 2016)

Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns. - Carson K. Leung; Christopher L. Carmichael; Yaroslav Hayduk; Fan Jiang 001; Vadim V. Kononov; Adam G. M. Pazdor (ECML/PKDD (3), 2016)

Web Page Recommendation Based on Bitwise Frequent Pattern Mining. - Fan Jiang 001; Carson K. Leung; Adam G. M. Pazdor (WI, 2016)

Parallel social network mining for interesting 'following' patterns. - Carson Kai-Sang Leung; Fan Jiang 001; Adam G. M. Pazdor; Aaron M. Peddle (Concurr. Comput. Pract. Exp., 2016)

MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks. - Peter Braun 004; Alfredo Cuzzocrea; Fan Jiang 001; Carson Kai-Sang Leung; Adam G. M. Pazdor (DaWaK, 2017)

Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds. - Peter Braun 004; Alfredo Cuzzocrea; Timothy D. Keding; Carson K. Leung; Adam G. M. Pazdor; Dell Sayson (KES, 2017)

Bitwise parallel association rule mining for web page recommendation. - Carson K. Leung; Fan Jiang 001; Adam G. M. Pazdor (WI, 2017)

Mining 'Following' Patterns from Big but Sparsely Distributed Social Network Data. - Carson K. Leung; Ryan Middleton; Adam G. M. Pazdor; Yeyoung Won (ASONAM, 2018)

Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data. - Carson K. Leung; Calvin S. H. Hoi; Adam G. M. Pazdor; Bryan H. Wodi; Alfredo Cuzzocrea (IEEE BigData, 2018)

Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities. - Carson K. Leung; Peter Braun 004; Adam G. M. Pazdor (DaWaK, 2018)

An Innovative Framework for Supporting Frequent Pattern Mining Problems in IoT Environments. - Peter Braun 004; Alfredo Cuzzocrea; Carson K. Leung; Adam G. M. Pazdor; Syed Khairuzzaman Tanbeer; Giorgio Mario Grasso (ICCSA (5), 2018)

Frequent Sequence Mining with Weight Constraints in Uncertain Databases. - Md Mahmudur Rahman 002; Chowdhury Farhan Ahmed; Carson K. Leung; Adam G. M. Pazdor (IMCOM, 2018)

Item-centric mining of frequent patterns from big uncertain data. - Peter Braun 004; Alfredo Cuzzocrea; Carson K. Leung; Adam G. M. Pazdor; Joglas Souza (KES, 2018)

Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives. - Peter Braun 004; Alfredo Cuzzocrea; Carson K. Leung; Adam G. M. Pazdor; Joglas Souza; Syed Khairuzzaman Tanbeer (CCGRID, 2019)

Mining Weighted Frequent Patterns from Uncertain Data Streams. - Jesan Ahammed Ovi; Chowdhury Farhan Ahmed; Carson K. Leung; Adam G. M. Pazdor (IMCOM, 2019)

Spatial Data Science of COVID-19 Data. - Siyuan Shang; Carson K. Leung; Yubo Chen 003; Adam G. M. Pazdor (HPCC/DSS/SmartCity, 2020)

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 (COMPSAC, 2021)

Analyzing COVID-19 Epidemiological Data. - Chenru Zhao; Carson K. Leung; Adam G. M. Pazdor; Qi Wen 001 (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Explainable Artificial Intelligence for Data Science on Customer Churn. - Carson K. Leung; Adam G. M. Pazdor; Joglas Souza (DSAA, 2021)

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 (EUSPN/ICTH, 2021)

Scalable Mining of Big Data. - Carson K. Leung; Adam G. M. Pazdor; Hao Zheng (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Social Network Analysis of Popular YouTube Videos via Vertical Quantitative Mining. - Adam G. M. Pazdor; Carson K. Leung; Thomas J. Czubryt; Junyi Lu; Denys Popov; Sanskar Raval (ASONAM, 2022)

A Big Data Science Solution for Transportation Analytics with Meteorological Data. - Sukhmandeep Kaur; Nikola N. Kokilev; Michael R. Kuzie; Carson K. Leung; Ben Nguyen; Adam G. M. Pazdor; Mark J. D. Shinnie (BigDataSE, 2022)

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 (DaWaK, 2022)

Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns. - Thomas J. Czubryt; Carson K. Leung; Adam G. M. Pazdor (DaWaK, 2022)

Q-Eclat: Vertical Mining of Interesting Quantitative Patterns. - Thomas James Czubryt; Carson K. Leung; Adam G. M. Pazdor (IDEAS, 2022)

Data Analytics for Parking Facility Management. - Deyu Deng; Carson K. Leung; Adam G. M. Pazdor (INCoS, 2022)

Data. Information and Knowledge Visualization for Frequent Patterns. - Calvin S. H. Hoi; Carson K. Leung; Adam G. M. Pazdor (IV, 2022)

Visualization and Visual Knowledge Discovery from Big Uncertain Data. - Carson K. Leung; Evan W. R. Madill; Adam G. M. Pazdor (IV, 2022)

Social network mining and analytics for quantitative patterns. - Connor C. J. Hryhoruk; Carson K. Leung; Adam G. M. Pazdor (ASONAM, 2023)

Efficient Vertical Mining of Frequent Quantitative Patterns. - Thomas J. Czubryt; Connor C. J. Hryhoruk; Carson K. Leung; Adam G. M. Pazdor (DASC/PiCom/CBDCom/CyberSciTech, 2023)

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 (DaWaK, 2023)

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 (DSAA, 2023)

Data Analytics and Prediction of Long COVID Cases with Fuzzy Logic. - Katrina Dotzlaw; Ryan Dotzlaw; Carson K. Leung; Adam G. M. Pazdor; Sean Szturm; Da Tan (FUZZ, 2023)

Mining Big Healthcare Data to Predict Long COVID Cases. - Katrina Dotzlaw; Ryan Dotzlaw; Carson K. Leung; Adam G. M. Pazdor; Sean Szturm; Da Tan (ICIT, 2023)

Mining Popular Trends from TED Talk Data. - Colin N. Johnson; Jay Khakhariya; Carson K. Leung; Adam G. M. Pazdor; Steven J. Peters; Aaron M. Salo (ICIT, 2023)

Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks. - A. M. Aahad; Khondker Bin Yamin; Md. Samiullah 001; Chowdhury Farhan Ahmed; Carson K. Leung; Evan W. R. Madill; Adam G. M. Pazdor (ICTAI, 2023)

Dynamic Pricing for Parking Facility. - Deyu Deng; Carson K. Leung; Adam G. M. Pazdor (INCoS, 2023)

A Data Science Solution for Analyzing Long COVID Cases. - Da Tan; Carson K. Leung; Katrina Dotzlaw; Ryan Dotzlaw; Adam G. M. Pazdor; Sean Szturm (IRI, 2023)

Personalized Privacy-Preserving Semi-Centralized Recommendation System in a Trust-Based Agent Network. - Qi Wen 001; Carson K. Leung; Adam G. M. Pazdor (TrustCom, 2023)

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 (AINA (2), 2024)

An Efficient Approach to Learn an Effective Hierarchy of a Set of OOBN Classes. - Wakilur Islam; Md. Rezaul Karim 002; Md. Samiullah 001; Chowdhury Farhan Ahmed; Carson K. Leung; Adam G. M. Pazdor; Connor C. J. Hryhoruk (IMCOM, 2024)

An Explainable Artificial Intelligence Solution for the Practical Application of Employee Turnover. - Carson K. Leung; Rayan Imran; Adam G. M. Pazdor; Joglas Souza (IV, 2024)

A Probabilistic Reasoning Framework to Detect Fake News on Social Media. - Mehreen Rashid; Fabliha Anber; Md. Samiullah 001; Chowdhury Farhan Ahmed; Carson K. Leung; Adam G. M. Pazdor (IMCOM, 2025)