Fuzzy data mining based on the compressed fuzzy FP-trees

Authors:
Chun-Wei Lin;Tzung-Pei Hong;Wen-Hsiang Lu
Affiliations:
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C.;Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan and Department of Computer Science and Engineering, National Sun Yat-sen University, ...;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C.
Venue:
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Year:
2009

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Abstract

In this paper, we design the compressed fuzzy FP-tree structure to mine fuzzy frequent itemsets from the transactions with quantitative values. It consists of two phases. In the first phase, a compressed fuzzy frequent pattern tree (CFFP tree) is constructed from the given quantitative transactions. In the second phase, a fuzzy mining approach is then proposed to mine the fuzzy frequent itemsets from the CFFP tree constructed. Experiments are also made to show the performance of the proposed approach.