A survey of incremental high‐utility itemset mining-Reference-Cited by-同舟云学术

A survey of incremental high‐utility itemset mining

Published:2018-01-14 Issue:2 Volume:8 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Gan Wensheng¹,Lin Jerry Chun‐Wei¹,Fournier‐Viger Philippe²,Chao Han‐Chieh³,Hong Tzung‐Pei⁴,Fujita Hamido⁵

Affiliation:

1. School of Computer Science and TechnologyHarbin Institute of Technology (Shenzhen) Shenzhen China

2. School of Humanities and Social SciencesHarbin Institute of Technology (Shenzhen) Shenzhen China

3. Department of Computer Science and Information EngineeringNational Dong Hwa University Hualien County, Taiwan

4. Department of Computer Science and Information EngineeringNational University of Kaohsiung Kaohsiung Taiwan

5. Faculty of Software and Information ScienceIwate Prefectural University (IPU) Iwate Japan

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1242

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4. Chan R. Yang Q. &Shen Y. D. (2003). Mining high utility itemsets. In:Proceedings of the IEEE International Conference on Data Mining Melbourne FL pp. 19–26.

5. Data mining: an overview from a database perspective

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