Adam G. M. Pazdor

Orcid: 0000-0001-9777-0084

According to our database1, Adam G. M. Pazdor authored at least 47 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Efficient Approach to Learn an Effective Hierarchy of a Set of OOBN Classes.
Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

Anomaly Detection with Generalized Isolation Forest.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
Personalized Privacy-Preserving Semi-Centralized Recommendation System in a Trust-Based Agent Network.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

A Data Science Solution for Analyzing Long COVID Cases.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Dynamic Pricing for Parking Facility.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2023

Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Mining Popular Trends from TED Talk Data.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

Mining Big Healthcare Data to Predict Long COVID Cases.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

Data Analytics and Prediction of Long COVID Cases with Fuzzy Logic.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Bitwise Vertical Mining of Minimal Rare Patterns.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Efficient Vertical Mining of Frequent Quantitative Patterns.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Social network mining and analytics for quantitative patterns.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
Visualization and Visual Knowledge Discovery from Big Uncertain Data.
Proceedings of the 26th International Conference Information Visualisation, 2022

Data. Information and Knowledge Visualization for Frequent Patterns.
Proceedings of the 26th International Conference Information Visualisation, 2022

Data Analytics for Parking Facility Management.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2022

Q-Eclat: Vertical Mining of Interesting Quantitative Patterns.
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.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

Mahalanobis Distance Based K-Means Clustering.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

A Big Data Science Solution for Transportation Analytics with Meteorological Data.
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.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Scalable Mining of Big Data.
Proceedings of the 2021 IEEE SmartWorld, 2021

Predictive Big Data Analytics for Service Requests: A Framework.
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.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Analyzing COVID-19 Epidemiological Data.
Proceedings of the IEEE Intl Conf on Dependable, 2021

Distributed Big Data Computing for Supporting Predictive Analytics of Service Requests.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Spatial Data Science of COVID-19 Data.
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.
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.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018
Item-centric mining of frequent patterns from big uncertain data.
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.
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.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Mining 'Following' Patterns from Big but Sparsely Distributed Social Network Data.
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.
Proceedings of the International Conference on Web Intelligence, 2017

Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds.
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.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016
Parallel social network mining for interesting 'following' patterns.
Concurr. Comput. Pract. Exp., 2016

Web Page Recommendation Based on Bitwise Frequent Pattern Mining.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Knowledge Discovery from Social Graph Data.
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.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

PyramidViz: Visual Analytics and Big Data Visualization for Frequent Patterns.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

A Data Science Model for Big Data Analytics of Frequent Patterns.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

Big data mining of social networks for friend recommendation.
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.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016


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