DocumentCode
2149923
Title
A Summary of Genetic-Fuzzy Data Mining Techniques
Author
Hong, Tzung-Pei ; Chen, Chun-Hao ; Tseng, Vincent S.
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
fYear
2010
fDate
14-16 Aug. 2010
Firstpage
28
Lastpage
29
Abstract
In this article, we have introduced some genetic-fuzzy data mining techniques and their classification. The concept of fuzzy sets is used to handle quantitative transactions and the process of genetic calculation is executed to find appropriate membership functions. The main contributions of this paper are that we first divided the genetic-fuzzy mining problems into four kinds according to the types of fuzzy mining problems and the ways of processing items. Then, each of the four kinds of problems has been described with some approaches given.
Keywords
data mining; fuzzy set theory; genetic algorithms; fuzzy set; genetic fuzzy data mining technique; quantitative transaction handling; Algorithm design and analysis; Association rules; Biological cells; Computer science; Electronic mail; Genetics; Data Miining; Fuzzy Data Mining; Fuzzy Set Theory; Genetic Algorithms; Genetic-Fuzzy Data Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-7964-1
Type
conf
DOI
10.1109/GrC.2010.169
Filename
5576250
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