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Mathematical Problems in Engineering
Volume 2015, Article ID 623240, 14 pages
http://dx.doi.org/10.1155/2015/623240
Research Article

FI-FG: Frequent Item Sets Mining from Datasets with High Number of Transactions by Granular Computing and Fuzzy Set Theory

College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China

Received 3 July 2015; Revised 7 November 2015; Accepted 23 November 2015

Academic Editor: Anna M. Gil-Lafuente

Copyright © 2015 Zhong-jie Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zhong-jie Zhang, Jian Huang, and Ying Wei, “FI-FG: Frequent Item Sets Mining from Datasets with High Number of Transactions by Granular Computing and Fuzzy Set Theory,” Mathematical Problems in Engineering, vol. 2015, Article ID 623240, 14 pages, 2015. https://doi.org/10.1155/2015/623240.