Introduction to Data Mining, 2/e (GE-Paperback)
暫譯: 資料探勘導論（第二版）
Pang-Ning Tan , Michael Steinbach , Anuj Karpatne , Vipin Kumar
- 出版商: Pearson FT Press
- 出版日期: 2019-07-15
- 售價: $1,420
- 貴賓價: 9.8 折 $1,392
- 語言: 英文
- 頁數: 860
- ISBN: 0273769227
- ISBN-13: 9780273769224
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相關分類:
Data-mining
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相關翻譯:
數據挖掘導論, 2/e (Introduction to Data Mining, 2/e) (簡中版)
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其他版本:
Introduction to Data Mining, 2/e (美國原版)
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相關主題
商品描述
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.
商品描述(中文翻譯)
資料探勘導論介紹了學習資料探勘的基本概念和演算法，特別適合第一次接觸資料探勘的讀者。每個概念都經過深入探討，並附有大量範例。該書對數學的背景要求相對較低。每個主要主題分為兩個章節，首先介紹基本概念，為理解每種資料探勘技術提供必要的背景，接著再深入探討更高級的概念和演算法。
作者簡介
作者：Pang-Ning Tan
現職：Michigan State University
作者：Michael Steinbach
現職：University of Minnesota
作者：Anuj Karpatne
現職：University of Minnesota
作者：Vipin Kumar
現職：University of Minnesota
作者簡介(中文翻譯)
作者：Pang-Ning Tan
現職：密西根州立大學
作者：Michael Steinbach
現職：明尼蘇達大學
作者：Anuj Karpatne
現職：明尼蘇達大學
作者：Vipin Kumar
現職：明尼蘇達大學
目錄大綱
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
目錄大綱(中文翻譯)
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
