A new closed frequent itemset mining algorithm based on GPU and improved vertical structure-Reference-Cited by-同舟云学术

A new closed frequent itemset mining algorithm based on GPU and improved vertical structure

Published:2016-08-02 Issue:6 Volume:29 Page:e3904
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Li Yun¹,Xu Jie¹,Yuan Yun-Hao¹,Chen Ling¹

Affiliation:

1. College of Information Engineering; Yangzhou University; Yangzhou 225009 China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Natural Science Foundation of Jiangsu Higher Education Institutions

High-Level Talent Project of “Six Talent Peaks” of Jiangsu Province

Joint Innovation Fund Project of Industry, Education, and Research of Jiangsu Province (Prospective Joint Research)

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.3904/fullpdf

Reference28 articles.

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4. Krajca P Outrata J Vychodil V. Using frequent closed itemsets for data dimensionality reduction In Proceedings of the 11th IEEE International Conference on Data Mining (ICDM) Washington, DC, USA 2011 1128 1133

5. Chen X He Y Chen P Miao S Song W Yue M. HPFP-Miner: a novel parallel frequent itemset mining algorithm In Proceedings of the 5th International Conference on Natural Computation Washington, DC, USA 2009 139 143

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