Efficient mining high average-utility itemsets with effective pruning strategies and novel list structure-Reference-Cited by-同舟云学术

Efficient mining high average-utility itemsets with effective pruning strategies and novel list structure

Published:2022-07-06 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Li Gufeng^ORCID,Shang Tao,Zhang Yinling

Funder

Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03722-x.pdf

Reference48 articles.

1. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings 20th International Conference. Very Large Data Bases, VLDB. pp 487–499

2. Ahmed CF, Tanbeer SK, Jeong B et al (2009) Efficient tree structures for high utility pattern mining in incremental databases. IEEE Trans on Knowl Data Eng 21(12):1708–1721

3. Bouasker S, Ben Yahia S (2015) Key correlation mining by simultaneous monotone and anti-monotone constraints checking. In: Proceedings of the 30th Annual ACM Symposium on Applied Computing. pp 851–856

4. Djenouri Y, Belhadi A, Fournier-Viger P et al (2018) Fast and effective cluster-based information retrieval using frequent closed itemsets. Inf Sci 453:154–167

5. Fournier-Viger P, Gomariz A, Gueniche T et al (2014a) Spmf: A java open-source pattern mining library. http://www.philippe-fournier-viger.com/spmf/index.php

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