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
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;
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
DOI :
10.1109/FUZZY.1995.410035
