A novel approach for mining maximal frequent patterns-Reference-Cited by-同舟云学术

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A novel approach for mining maximal frequent patterns

Published:2017-05 Issue: Volume:73 Page:178-186
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Vo Bay^ORCID,Pham Sang,Le Tuong^ORCID,Deng Zhi-Hong

Funder

National Foundation for Science and Technology Development

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference26 articles.

1. Depth first generation of long patterns;Agarwal,2000

2. Mining association rules between sets of items in large databases;Agrawal,1993

3. Fast algorithms for mining association rules;Agrawal,1994

4. MAFIA: A Maximal Frequent Itemset Algorithm;Burdick;IEEE IEEE Transactions on Knowledge and Data Engineering,2005

5. Fast mining erasable itemsets using NC_sets;Deng;Expert Systems with Applications,2012

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