MLC-miner: Efficiently discovering multi-level closed high utility patterns from quantitative hierarchical transaction databases-Reference-Cited by-同舟云学术

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MLC-miner: Efficiently discovering multi-level closed high utility patterns from quantitative hierarchical transaction databases

Published:2024-11 Issue: Volume:254 Page:124383
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Nguyen Trinh D.D.,Tung N.T.,Nguyen Loan T.T.,Pham Thiet T.^ORCID,Vo Bay^ORCID

Publisher

Elsevier BV

Reference55 articles.

1. Mining association rules between sets of items in large databases;Agrawal;ACM SIGMOD Record,1993

2. Efficient tree structures for high utility pattern mining in incremental databases;Ahmed;IEEE Transactions on Knowledge and Data Engineering,2009

3. RHUPS: Mining recent high utility patterns with sliding window–based arrival time control over data streams;Baek;ACM Transactions on Intelligent Systems and Technology,2021

4. Expressive generalized itemsets;Baralis;Information Sciences,2014

5. Generalized association rule mining with constraints;Baralis;Information Sciences,2012

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