Adam G. M. Pazdor

According to our database, Adam G. M. Pazdor authored at least 48 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Explainable Artificial Intelligence Solution for the Practical Application of Employee Turnover.

Carson K. Leung, Rayan Imran, Adam G. M. Pazdor, Joglas Souza

Proceedings of the 28th International Conference Information Visualisation, 2024

An Efficient Approach to Learn an Effective Hierarchy of a Set of OOBN Classes.

Wakilur Islam, Md. Rezaul Karim, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor, Connor C. J. Hryhoruk

Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

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

Proceedings of the Advanced Information Networking and Applications, 2024

2023

Personalized Privacy-Preserving Semi-Centralized Recommendation System in a Trust-Based Agent Network.

Qi Wen, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the 22nd IEEE International Conference on Trust, 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

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Dynamic Pricing for Parking Facility.

Deyu Deng, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2023

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

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 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

Proceedings of the IEEE International Conference on Industrial Technology, 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

Proceedings of the IEEE International Conference on Industrial Technology, 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

Proceedings of the IEEE International Conference on Fuzzy Systems, 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

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 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

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Efficient Vertical Mining of Frequent Quantitative Patterns.

Thomas J. Czubryt, Connor C. J. Hryhoruk, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the IEEE Intl Conf on Dependable, 2023

Social network mining and analytics for quantitative patterns.

Connor C. J. Hryhoruk, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Visualization and Visual Knowledge Discovery from Big Uncertain Data.

Carson K. Leung, Evan W. R. Madill, Adam G. M. Pazdor

Proceedings of the 26th International Conference Information Visualisation, 2022

Data. Information and Knowledge Visualization for Frequent Patterns.

Calvin S. H. Hoi, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the 26th International Conference Information Visualisation, 2022

Data Analytics for Parking Facility Management.

Deyu Deng, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2022

Q-Eclat: Vertical Mining of Interesting Quantitative Patterns.

Thomas James Czubryt, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the IDEAS'22: International Database Engineered Applications Symposium, Budapest, Hungary, August 22, 2022

Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns.

Thomas J. Czubryt, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the Big Data Analytics and Knowledge Discovery, 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

Proceedings of the Big Data Analytics and Knowledge Discovery, 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

Proceedings of the 16th IEEE International Conference on Big Data Science and Engineering, 2022

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

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Scalable Mining of Big Data.

Carson K. Leung, Adam G. M. Pazdor, Hao Zheng

Proceedings of the 2021 IEEE SmartWorld, 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

Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

Explainable Artificial Intelligence for Data Science on Customer Churn.

Carson K. Leung, Adam G. M. Pazdor, Joglas Souza

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Analyzing COVID-19 Epidemiological Data.

Chenru Zhao, Carson K. Leung, Adam G. M. Pazdor, Qi Wen

Proceedings of the IEEE Intl Conf on Dependable, 2021

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

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

Spatial Data Science of COVID-19 Data.

Siyuan Shang, Carson K. Leung, Yubo Chen, Adam G. M. Pazdor

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

Mining Weighted Frequent Patterns from Uncertain Data Streams.

Jesan Ahammed Ovi, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

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

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018

Item-centric mining of frequent patterns from big uncertain data.

Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Frequent Sequence Mining with Weight Constraints in Uncertain Databases.

Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018

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

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities.

Carson K. Leung, Peter Braun, Adam G. M. Pazdor

Proceedings of the Big Data Analytics and Knowledge Discovery, 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

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Mining 'Following' Patterns from Big but Sparsely Distributed Social Network Data.

Carson K. Leung, Ryan Middleton, Adam G. M. Pazdor, Yeyoung Won

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Bitwise parallel association rule mining for web page recommendation.

Carson K. Leung, Fan Jiang, Adam G. M. Pazdor

Proceedings of the International Conference on Web Intelligence, 2017

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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks.

Peter Braun, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, Adam G. M. Pazdor

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016

Parallel social network mining for interesting 'following' patterns.

Carson Kai-Sang Leung, Fan Jiang, Adam G. M. Pazdor, Aaron M. Peddle

Concurr. Comput. Pract. Exp., 2016

Web Page Recommendation Based on Bitwise Frequent Pattern Mining.

Fan Jiang, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns.

Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang, Vadim V. Kononov, Adam G. M. Pazdor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Knowledge Discovery from Social Graph Data.

Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Kimberly Tran

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

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

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

PyramidViz: Visual Analytics and Big Data Visualization for Frequent Patterns.

Carson K. Leung, Vadim V. Kononov, Adam G. M. Pazdor, Fan Jiang

Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

A Data Science Model for Big Data Analytics of Frequent Patterns.

Carson K. Leung, Fan Jiang, Hao Zhang, Adam G. M. Pazdor

Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

Big data mining of social networks for friend recommendation.

Fan Jiang, Carson K. Leung, Adam G. M. Pazdor

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Knowledge Discovery from Big Social Key-Value Data.

Carson K. Leung, Peter Braun, Murun Enkhee, Adam G. M. Pazdor, Oluwafemi A. Sarumi, Kimberly Tran

Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016