DocumentCode :
352706
Title :
Acquiring knowledge from data by clustering and optimum-seeking
Author :
Dongping, Su ; Chen Wenning ; Jiansheng, Feng ; Yuan, Z.D.
Author_Institution :
East China Normal Univ., Shanghai, China
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
378
Abstract :
This paper presents a new approach of knowledge acquisition from domain data, which named clustering and optimum-seeking. It offers a complete solution of KDD application to quality control of industrial enterprises. It is applied in practice, and proved effective
Keywords :
data mining; optimisation; pattern clustering; production engineering computing; quality control; KDD; data clustering; databases; industrial enterprises; knowledge acquisition; knowledge discovery; optimum-seeking; quality control; Industrial control; Knowledge acquisition; Quality control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.859987
Filename :
859987
Link To Document :
بازگشت