An indexed set representation based multi-objective evolutionary approach for mining diversified top-k high utility patterns-Reference-Cited by-同舟云学术

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An indexed set representation based multi-objective evolutionary approach for mining diversified top-k high utility patterns

Published:2019-01 Issue: Volume:77 Page:9-20
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Lei,Yang Shangshang,Wu Xinpeng,Cheng Fan,Xie Ying,Lin Zhiting

Funder

Natural Science Foundation of China

Anhui University

Natural Science Foundation of Anhui Province

Humanities and Social Sciences Project of Chinese Ministry of Education

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference52 articles.

1. Agrawal, Rakesh, Srikant, Ramakrishnan, 1995. Mining sequential patterns. In: Proceedings of International Conference on Data Engineering, pp. 3–14.

2. Efficient tree structures for high utility pattern mining in incremental databases;Ahmed;IEEE Trans. Knowl. Data Eng.,2009

3. Mining numerical association rules via multi-objective genetic algorithms;Bidgoli;Inform. Sci.,2013

4. NMEEF-SD: Non-dominated multiobjective evolutionary algorithm for extracting fuzzy rules in subgroup discovery;Carmona;IEEE Trans. Fuzzy Syst.,2010

5. A multiobjective evolutionary algorithm using Gaussian process based inverse modeling;Cheng;IEEE Trans. Evol. Comput.,2015

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