Title :
A kind of method for mining classification rules based on fuzzy sets
Author :
Min, Yao ; Weihong, Wang ; Xiaoming, Zhao
Author_Institution :
Dept. of Comput., Zhejiang Univ., Hangzhou, China
Abstract :
Fuzziness is one of the general characteristics of human thinking and objective things. This paper presents a kind of methods for mining classification rules based on fuzzy sets. This method first obtain thematic data set using fuzzy retrieval techniques, then sums up abstractly by means of fuzzy clustering, and thus the gains necessary classification rules.
Keywords :
data mining; deductive databases; fuzzy set theory; query processing; signal classification; KDD; data mining; fuzzy clustering; fuzzy retrieval techniques; fuzzy sets; human thinking; knowledge acquisition; knowledge discovering from database; mining classification rules; similarity measurement; thematic data set; Data mining; Data warehouses; Decision making; Delta modulation; Fuzzy sets; Fuzzy systems; Humans; Information retrieval; Laboratories; Transaction databases;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180021
