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ORCIDAdam G. M. Pazdor
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2020 – today
- 2024
[c47]Brett E. Downey, Carson K. Leung
, Adam G. M. Pazdor, Ryan A. L. Petrillo, Denys Popov, Benjamin R. Schneider:
Anomaly Detection with Generalized Isolation Forest. AINA (2) 2024: 356-368- [c46]Wakilur Islam, Md. Rezaul Karim, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor, Connor C. J. Hryhoruk:
An Efficient Approach to Learn an Effective Hierarchy of a Set of OOBN Classes. IMCOM 2024: 1-8 - [c45]Carson K. Leung, Rayan Imran, Adam G. M. Pazdor, Joglas Souza:
An Explainable Artificial Intelligence Solution for the Practical Application of Employee Turnover. IV 2024: 1-6 - 2023
- [c44]Connor C. J. Hryhoruk, Carson K. Leung, Adam G. M. Pazdor:
Social network mining and analytics for quantitative patterns. ASONAM 2023: 727-734 - [c43]Thomas J. Czubryt, Connor C. J. Hryhoruk, Carson K. Leung, Adam G. M. Pazdor:
Efficient Vertical Mining of Frequent Quantitative Patterns. DASC/PiCom/CBDCom/CyberSciTech 2023: 950-955 - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]A. M. Aahad, Khondker Bin Yamin, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Evan W. R. Madill, Adam G. M. Pazdor:
Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks. ICTAI 2023: 221-228 - [c36]Deyu Deng, Carson K. Leung, Adam G. M. Pazdor:
Dynamic Pricing for Parking Facility. INCoS 2023: 136-147 - [c35]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 - [c34]Qi Wen, Carson K. Leung, Adam G. M. Pazdor:
Personalized Privacy-Preserving Semi-Centralized Recommendation System in a Trust-Based Agent Network. TrustCom 2023: 2644-2651 - 2022
- [c33]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 - [c32]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 - [c31]Thomas J. Czubryt, Carson K. Leung, Adam G. M. Pazdor:
Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns. DaWaK 2022: 219-233 - [c30]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 - [c29]Thomas James Czubryt, Carson K. Leung, Adam G. M. Pazdor:
Q-Eclat: Vertical Mining of Interesting Quantitative Patterns. IDEAS 2022: 25-33 - [c28]Deyu Deng, Carson K. Leung, Adam G. M. Pazdor:
Data Analytics for Parking Facility Management. INCoS 2022: 117-129 - [c27]Calvin S. H. Hoi, Carson K. Leung, Adam G. M. Pazdor:
Data. Information and Knowledge Visualization for Frequent Patterns. IV 2022: 221-226 - [c26]Carson K. Leung, Evan W. R. Madill, Adam G. M. Pazdor:
Visualization and Visual Knowledge Discovery from Big Uncertain Data. IV 2022: 330-335 - 2021
- [c25]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 - [c24]Chenru Zhao, Carson K. Leung, Adam G. M. Pazdor, Qi Wen:
Analyzing COVID-19 Epidemiological Data. DASC/PiCom/CBDCom/CyberSciTech 2021: 985-990 - [c23]Carson K. Leung, Adam G. M. Pazdor, Joglas Souza:
Explainable Artificial Intelligence for Data Science on Customer Churn. DSAA 2021: 1-10 - [c22]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 - [c21]Carson K. Leung, Adam G. M. Pazdor, Hao Zheng:
Scalable Mining of Big Data. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 240-247 - 2020
- [c20]Siyuan Shang, Carson K. Leung, Yubo Chen, Adam G. M. Pazdor:
Spatial Data Science of COVID-19 Data. HPCC/DSS/SmartCity 2020: 1370-1375
2010 – 2019
- 2019
- [c19]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 - [c18]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 - 2018
- [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor:
Frequent Sequence Mining with Weight Constraints in Uncertain Databases. IMCOM 2018: 48:1-48:8 - [c12]Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza:
Item-centric mining of frequent patterns from big uncertain data. KES 2018: 1875-1884 - 2017
- [c11]Peter Braun, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, Adam G. M. Pazdor:
MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks. DaWaK 2017: 130-145 - [c10]Peter Braun, Alfredo Cuzzocrea, Timothy D. Keding, Carson K. Leung, Adam G. M. Pazdor, Dell Sayson:
Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds. KES 2017: 2259-2268 - [c9]Carson K. Leung, Fan Jiang, Adam G. M. Pazdor:
Bitwise parallel association rule mining for web page recommendation. WI 2017: 662-669 - 2016
- [j1]Carson Kai-Sang Leung, Fan Jiang, Adam G. M. Pazdor, Aaron M. Peddle:
Parallel social network mining for interesting 'following' patterns. Concurr. Comput. Pract. Exp. 28(15): 3994-4012 (2016) - [c8]Carson K. Leung, Peter Braun, Murun Enkhee, Adam G. M. Pazdor, Oluwafemi A. Sarumi, Kimberly Tran:
Knowledge Discovery from Big Social Key-Value Data. CIT 2016: 484-491 - [c7]Fan Jiang, Carson K. Leung, Adam G. M. Pazdor:
Big data mining of social networks for friend recommendation. ASONAM 2016: 921-922 - [c6]Carson K. Leung, Fan Jiang, Hao Zhang, Adam G. M. Pazdor:
A Data Science Model for Big Data Analytics of Frequent Patterns. DASC/PiCom/DataCom/CyberSciTech 2016: 866-873 - [c5]Carson K. Leung, Vadim V. Kononov, Adam G. M. Pazdor, Fan Jiang:
PyramidViz: Visual Analytics and Big Data Visualization for Frequent Patterns. DASC/PiCom/DataCom/CyberSciTech 2016: 913-916 - [c4]Md. Badi-Uz-Zaman Shajib, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor:
An Efficient Approach for Mining Frequent Patterns over Uncertain Data Streams. ICTAI 2016: 980-984 - [c3]Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Kimberly Tran:
Knowledge Discovery from Social Graph Data. KES 2016: 682-691 - [c2]Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang, Vadim V. Kononov, Adam G. M. Pazdor:
Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns. ECML/PKDD (3) 2016: 289-293 - [c1]Fan Jiang, Carson K. Leung, Adam G. M. Pazdor:
Web Page Recommendation Based on Bitwise Frequent Pattern Mining. WI 2016: 632-635
Coauthor Index
aka: Carson Kai-Sang Leung
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last updated on 2024-11-25 23:38 CET by the dblp team
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