Title :
A SPEA2-based genetic-fuzzy mining algorithm
Author :
Chen, Chun-Hao ; Hong, Tzung-Pei ; Tseng, Vincent S.
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Taipei, Taiwan
Abstract :
In this paper, we adopt a more sophisticated multi-objective approach, SPEA2, to find appropriate sets of membership functions for fuzzy data mining. Two objective functions are used to find the Pareto front. The first one is to minimize the suitability of membership functions and the second one is to maximize the total number of large 1-itemsets. An experimental comparison with the previous approach is also made to show the effectiveness of the proposed approach in finding the Pareto-front membership functions.
Keywords :
Pareto optimisation; data mining; fuzzy set theory; genetic algorithms; Pareto-front membership functions; SPEA2-based genetic-fuzzy mining algorithm; fuzzy data mining; Association rules; Biological cells; Computer science; Evolutionary computation; Optimization; Pragmatics;
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6919-2
DOI :
10.1109/FUZZY.2010.5584376
