ETARM: an efficient top-k association rule mining algorithm-Reference-Cited by-同舟云学术

ETARM: an efficient top-k association rule mining algorithm

Published:2017-08-15 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Nguyen Linh T. T.,Vo Bay,Nguyen Loan T. T.^ORCID,Fournier-Viger Philippe,Selamat Ali

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10489-017-1047-4.pdf

Reference31 articles.

1. Agrawal R, Imielminski T, Swami A (1993) Mining association rules between sets of items in large databases. In: Proceedings ACM international conference on management of data. ACM Press, pp 207–216

2. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings of the 20th international conference on very large data bases, pp 487–499

3. Chuang KT, Huang JL, Chen MS (2008) Mining top-k frequent patterns in the presence of the memory constraint. VLDB J 17(5):1321–1344

4. Deng Z, Fang G (2007) Mining top-rank-k frequent patterns. In: ICMLC’07, pp 851–856

5. Deng ZH (2014) Fast mining top-rank-k frequent patterns by using node-lists. Expert Syst Appl 41(4):1763–1768

Cited by 28 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. Association rules mining for long uptime sucker rod pumping units;Reliability Engineering & System Safety;2024-05

2. Research on fruit shape database mining to support fruit class classification using the shuffled frog leaping optimization (SFLO) technique;AIMS Mathematics;2024

3. ITUFP: A fast method for interactive mining of Top-K frequent patterns from uncertain data;Expert Systems with Applications;2023-03

4. Psychological Counseling System Based on Association Rules Mining Algorithm;Lecture Notes on Data Engineering and Communications Technologies;2023

5. A Sequential Pattern Mining Approach to Tourist Movement: The Case of a Mega Event;Journal of Travel Research;2022-10-15