Acquiring knowledge from data by clustering and optimum-seeking
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5(2000)
摘要
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
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关键词
data mining,optimisation,pattern clustering,production engineering computing,quality control,KDD,data clustering,databases,industrial enterprises,knowledge acquisition,knowledge discovery,optimum-seeking,quality control,
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