Title :
Mining fuzzy frequent itemsets by projection techniques
Author :
Guo-Cheng Lan ; Tzung-Pei Hong ; Yi-Hsin Lin ; Chun-Wei Tsai
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
Different from the existing algorithms, this work presents an efficient projection-based algorithm to find fuzzy frequent itemsets in quantitative databases. In particular, the proposed algorithm adopts the two strategies, indexing and pruning, to effectively speed up the execution efficiency in mining. In the experimental evaluation, the results on a synthetic dataset show the proposed algorithm executes faster than our previous algorithm.
Keywords :
data mining; fuzzy set theory; indexing; fuzzy frequent itemset mining; indexing strategy; projection techniques; projection-based algorithm; pruning strategy; quantitative databases; synthetic dataset; Abstracts; Itemsets; Data mining; fuzzy data mining; fuzzy frequent itemsets; indexing strategy;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890870
