Connor C. J. Hryhoruk

Orcid: 0009-0009-1937-6108

According to our database1, Connor C. J. Hryhoruk authored at least 14 papers between 2020 and 2024.

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

Timeline

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Links

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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

Multi-level Frequent Pattern Mining on Pipeline Incident Data.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
Mining Sequential Patterns with Timelines from Digital Health Data.
Proceedings of the IEEE International Conference on Digital Health, 2023

Machine Learning-Based Android Malware Detection.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 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

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

Big Data Management for Machine Learning from Big Data.
Proceedings of the Advanced Information Networking and Applications, 2023

2022
Web Mining from Interpretable Compressed Representation of Sparse Web.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Social Network Analysis on Interpretable Compressed Sparse Networks.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Interpretable Mining of Influential Patterns from Sparse Web.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Smart City Transportation Data Analytics with Conceptual Models and Knowledge Graphs.
Proceedings of the 2021 IEEE SmartWorld, 2021

Compressing and mining social network data.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
Data Mining on Open Public Transit Data for Transportation Analytics During Pre-COVID-19 Era and COVID-19 Era.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems - The 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020), Victoria, BC, Canada, 31 August, 2020


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