Mining high utility episodes in complex event sequences

Author:

Wu Cheng-Wei1,Lin Yu-Feng1,Yu Philip S.2,Tseng Vincent S.1

Affiliation:

1. Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan, ROC, Tainan, Taiwan Roc

2. Department of Computer Science, University of Illinois at Chicago, Chicago, Illinois, USA, Chicago, USA

Publisher

ACM

Cited by 35 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An efficient pruning method for mining inter-sequence patterns based on pseudo-IDList;Expert Systems with Applications;2024-03

2. An Efficient Approach for Maintaining and Mining Frequent Episodes;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19

3. Breadth-First Search Approach for Mining Serial Episodes with Simultaneous Events;Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD);2024-01-04

4. Discovering frequent parallel episodes in complex event sequences by counting distinct occurrences;Applied Intelligence;2023-12-18

5. A survey of episode mining;WIREs Data Mining and Knowledge Discovery;2023-11-28

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