Title :
Fuzzy data mining based on the compressed fuzzy FP-trees
Author :
Lin, Chun-Wei ; Hong, Tzung-Pei ; Lu, Wen-Hsiang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
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.
Keywords :
data mining; fuzzy set theory; trees (mathematics); compressed fuzzy FP-tree; compressed fuzzy frequent pattern tree; fuzzy data mining; fuzzy frequent itemset mining; quantitative transaction; Association rules; Clustering algorithms; Data mining; Frequency; Fuzzy set theory; Fuzzy sets; Humans; Itemsets; Transaction databases; Tree data structures;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277200
