DocumentCode
3501280
Title
Data mining system using fuzzy rule induction
Author
Maeda, Akira ; Ashida, Hitoshi ; Taniguchi, Yoji ; Takahashi, Yon
Author_Institution
Syst. Dev. Lab., Hitachi Ltd., Kawasaki, Japan
Volume
5
fYear
1995
fDate
20-24 Mar 1995
Firstpage
45
Abstract
“Data mining” is a technique to extract nontrivial regularities or relationships in databases. The purpose of data mining is to extract nontrivial regularities or relationships as a piece of knowledge in databases. This technique can provide users with a very powerful tool for exploiting vast amount of stored data
Keywords
database management systems; fuzzy systems; information retrieval; knowledge based systems; knowledge representation; data mining system; databases; fuzzy rule induction; intelligent information processing; knowledge representation; nontrivial regularity extraction; nontrivial relationship extraction; Algorithm design and analysis; Data analysis; Data mining; Fuzzy systems; Humans; Knowledge representation; Noise level; Relational databases; Spatial databases; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location
Yokohama
Print_ISBN
0-7803-2461-7
Type
conf
DOI
10.1109/FUZZY.1995.410035
Filename
410035
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