Pub 2014-08-01 137 Chinese Metallurgical Industry Press. Data Mining Technology and Application. a total of eight chapters. systematically describes the basic concepts and principles of data mining techniques. and cited in the corresponding reference value in the field and its improved algorithms and applications. the main contents include data. association rules. classification and prediction. clustering analysis. rough set theory. attribute reduction algorithms and data mining applications. Data mining technology and applications as a university computer science undergraduate. graduate teaching. also available in computer information processing. data mining and other related aspects of scientific and technical personnel reference. 1.3.4 Classification of training and test sets of Contents 1 Introduction 1.1 Situation of data mining data mi...

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