
Data mining An extensive introduction to data mining, making it easy for students, professors, researchers, and experts to understand it. Data, classification, association analysis, clustering, and outlier detection. It provides a large amount of examples, illustrations, and exercises for basic concepts, so that it can help readers understand. Behind each chapter are advanced topics and bibliographic descriptions that allow interested readers to make supplementary learning.
Page Count:
698
Publication Date:
2007-06-26
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