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$ 1349 | Introduction to Data Mining (GE) (2版)
作者：Pang-Ning Tan 出版社：華泰文化 出版日期：2019-07-15 語言：英文 規格：平裝 / 860頁 / 18.8 x 23.3 x 2.7 cm / 普通級/ 單色印刷 / 2版  共 2 筆 → 查價格、看圖書介紹
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圖書介紹 - 資料來源：博客來 評分：
圖書名稱：Introduction to Data Mining (GE) (2版)
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
作者簡介
Pang-Ning Tan
現職：Michigan State University
Michael Steinbach
現職：University of Minnesota
Anuj Karpatne
現職：University of Minnesota
Vipin Kumar
現職：University of Minnesota
Pang-Ning Tan
現職：Michigan State University
Michael Steinbach
現職：University of Minnesota
Anuj Karpatne
現職：University of Minnesota
Vipin Kumar
現職：University of Minnesota
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
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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