TUSQ: Targeted High-Utility Sequence Querying

Author:

Zhang Chunkai1ORCID,Dai Quanjian1,Du Zilin1,Gan Wensheng2ORCID,Weng Jian2ORCID,Yu Philip S.3ORCID

Affiliation:

1. Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, China

2. College of Cyber Security, Jinan University, Guangzhou, Guangdong, China

3. Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province of China

Guangzhou Basic and Applied Basic Research Foundation

Shenzhen Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Cited by 16 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

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2. Targeted Mining of Local Periodic Patterns;Proceedings of the 2024 6th International Conference on Big Data Engineering;2024-07-24

3. TaSPM: Targeted Sequential Pattern Mining;ACM Transactions on Knowledge Discovery from Data;2024-02-28

4. Incremental Top-k High Utility Pattern Mining and Analyzing Over the Entire Accumulated Dynamic Database;IEEE Access;2024

5. Targeted Mining Precise-Positioning Episode Rules;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

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