Efficient mining of top-k high utility itemsets through genetic algorithms-Reference-Cited by-同舟云学术

Efficient mining of top-k high utility itemsets through genetic algorithms

Published:2023-05 Issue: Volume:624 Page:529-553
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Luna José María,Kiran Rage Uday,Fournier-Viger Philippe,Ventura Sebastián

Funder

Gobierno de España Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference41 articles.

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

3. A closed itemset property based multi-objective evolutionary approach for mining frequent and high utility itemsets;Cao,2019

4. An efficient algorithm for mining the top-k high utility itemsets, using novel threshold raising and pruning strategies;Duong;Knowledge Based Systems,2016

5. SPMF: a java open-source pattern mining library;Fournier-Viger;Journal of Machine Learning Research,2014

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