Introduction to Data Mining (Global Ed. 2 Ed.) | 誠品線上

Introduction to Data Mining (Global Ed. 2 Ed.)

內容簡介

內容簡介 Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

作者介紹

作者介紹 Pang-Ning Tan現職：Michigan State UniversityMichael Steinbach現職：University of MinnesotaAnuj Karpatne現職：University of MinnesotaVipin Kumar現職：University of Minnesota

產品目錄

產品目錄 Ch 1 Introduction Ch 2 Data Ch 3 Classification: Basic Concepts and Techniques Ch 4 Association Analysis: Basic Concepts and Algorithms Ch 5 Cluster Analysis: Basic Concepts and Algorithms Ch 6 Classification: Alternative Techniques Ch 7 Association Analysis: Advanced Concepts Ch 8 Cluster Analysis: Additional Issues and Algorithms Ch 9 Anomaly Detection Ch10 Avoiding False Discoveries

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