Efficient frequent itemset mining methods over time-sensitive streams-Reference-Cited by-同舟云学术

Efficient frequent itemset mining methods over time-sensitive streams

Published:2014-01 Issue: Volume:56 Page:281-298
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Haifeng,Zhang Ning,Zhu Jianming,Cao Huaihu,Wang Yue

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference35 articles.

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4. Frequent pattern mining: current status and future directions;Han;Data Min. Knowl. Discov.,2007

5. B. Babcock, S. Babu, M. Datar, R. Motwani, J. Widom, Models and issues in data stream systems, in: Proceedings of SIGMOD the ACM Conference on Management of Databases, 2002.

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