MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining-Reference-Cited by-同舟云学术

MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining

Author:

Li Yan¹^ORCID,Zhang Chang¹,Li Jie¹^ORCID,Song Wei²^ORCID,Qi Zhenlian³,Wu Youxi⁴^ORCID,Wu Xindong⁵^ORCID

Affiliation:

1. School of Economics and Management, Hebei University of Technology, Tianjin, China

2. North China University of Technology, Beijing, China

3. Guangdong Eco-Engineering Polytechnic, Guangzhou, China

4. School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

5. Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Hebei Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

Reference66 articles.

Cited by 8 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

3. Deep Learning for Enhanced Consumer Behavior Analysis and Predictive Accuracy;2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET);2024-06-07