文件名称：Pattern Recognition Algorithm for Data Mining
文件大小：3.65MB
文件格式：RAR
更新时间：2014-10-31 18:27:10
数据挖掘 模式识别 算法
Preface xxi List of Tables xxv List of Figures xxvii 1 Introduction 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Pattern Recognition in Brief . . . . . . . . . . . . . . . . . . 3 1.2.1 Data acquisition . . . . . . . . . . . . . . . . . . . . . 4 1.2.2 Feature selection/extraction . . . . . . . . . . . . . . . 4 1.2.3 Classification . . . . . . . . . . . . . . . . . . . . . . . 5 1.3 K nowledge Discovery in Databases (K DD) . . . . . . . . . . 7 1.4 DataMining . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.4.1 Datamining tasks . . . . . . . . . . . . . . . . . . . . 10 1.4.2 Datamining tools . . . . . . . . . . . . . . . . . . . . 12 1.4.3 Applications of datamining . . . . . . . . . . . . . . . 12 1.5 Different Perspectives of DataMining . . . . . . . . . . . . . 14 1.5.1 Database perspective . . . . . . . . . . . . . . . . . . . 14 1.5.2 Statistical perspective . . . . . . . . . . . . . . . . . . 15 1.5.3 Pattern recognition perspective . . . . . . . . . . . . . 15 1.5.4 Research issues and challenges . . . . . . . . . . . . . 16 1.6 Scaling Pattern Recognition Algorithms to Large Data Sets . 17 1.6.1 Data reduction . . . . . . . . . . . . . . . . . . . . . . 17 1.6.2 Dimensionality reduction . . . . . . . . . . . . . . . . 18 1.6.3 Active learning . . . . . . . . . . . . . . . . . . . . . . 19 1.6.4 Data partitioning . . . . . . . . . . . . . . . . . . . . . 19 1.6.5 Granular computing . . . . . . . . . . . . . . . . . . . 20 1.6.6 Efficient search algorithms . . . . . . . . . . . . . . . . 20 1.7 Significance of Soft Computing in KDD . . . . . . . . . . . . 21 1.8 Scope of the Book . . . . . . . . . . . . . . . . . . . . . . . . 22
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Pattern Recognition Algorithms for Data Mining
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