Data heterogeneity's impact on the performance of frequent itemset mining algorithms-Reference-Cited by-同舟云学术

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Data heterogeneity's impact on the performance of frequent itemset mining algorithms

Published:2024-09 Issue: Volume:678 Page:120981
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Trasierras Antonio Manuel^ORCID,Luna José María^ORCID,Fournier-Viger Philippe^ORCID,Ventura Sebastián^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. Frequent itemset mining: a 25 years review;Luna;Wiley Interdiscip. Rev. Data Min. Knowl. Discov.,2019

2. Efficient mining of top-k high utility itemsets through genetic algorithms;Luna;Inf. Sci.,2023

3. Fuzzy-driven periodic frequent pattern mining;Zhang;Inf. Sci.,2022

4. Huopm: high-utility occupancy pattern mining;Gan;IEEE Trans. Cybern.,2019

5. Extracting user-centric knowledge on two different spaces: concepts and records;Luna;IEEE Access,2020

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