A survey of itemset mining-Reference-Cited by-同舟云学术

A survey of itemset mining

Published:2017-04-21 Issue:4 Volume:7 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Fournier‐Viger Philippe¹,Lin Jerry Chun‐Wei²,Vo Bay³⁴,Chi Tin Truong⁵,Zhang Ji⁶,Le Hoai Bac⁷

Affiliation:

1. School of Natural Science and Humanities Harbin Institute of Technology, Shenzhen Graduate School Shenzhen China

2. School of Computer Science and Technology Harbin Institute of Technology, Shenzhen Graduate School Shenzhen China

3. Faculty of Information Technology Ho Chi Minh City University of Technology Ho Chi Minh City Vietnam

4. College of Electronics and Information Engineering Sejong University Seoul Republic of Korea

5. Department of Mathematics and Informatics University of DaLat DaLat Vietnam

6. Faculty of Health, Engineering and Sciences University of Southern Queensland Toowoomba Australia

7. Faculty of Information Technology Ho Chi Minh City University of Science Ho Chi Minh City Vietnam

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1207

Reference116 articles.

1. Data Mining

2. AgrawalR SrikantR. Fast algorithms for mining association rules. In:Proceedings of the 20th International Conference on Very Large Data Bases (VLDB 1994) Santiago de Chile Chile 12–15 September 1994 487–499).

3. A primer to frequent itemset mining for bioinformatics

4. FernandoB ElisaF TinneT. Effective use of frequent itemset mining for image classification. In:European Conference on Computer Vision Florence Italy 7–13 October 2012 214–227.

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