数据挖掘：实用机器学习工具与技术（英文版·第3版）

作　者：	Ian Witten
出版社：	机械工业出版社
丛编项：
版权说明：	本书为公共版权或经版权方授权，请支持正版图书
标　签：	数据仓库与数据挖掘

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作者简介

暂缺《数据挖掘：实用机器学习工具与技术（英文版·第3版）》作者简介

内容简介

Ian H. Witten， Eibe Frank and Mark A. Hall： Data Mining： Practical Machine Learning Tools and Techniques， Third Edition （ISBN 978-0-12-374856-0）. Original English language edition copyright2011 by Elsevier Inc. All rights reserved. Authorized English language reprint edition published by the Proprietor. Copyright2012 by Elsevier （Singapore） Pte Ltd. Printed in China by China Machine Press under special arrangement with Elsevier （Singapore） Pte Ltd. This edition is authorized for sale in China only， excluding Hong Kong， Macao SARs and Taiwan. Unauthorized export of this edition is a violation of the Copyright Act. Violation of this Law is subject to Civil and Criminal Penalties.

图书目录

PREFACE

Updated and Revised Content

Second Edition

Third Edition

ACKNOWLEDGMENTS

ABOUT THE AUTHORS

PART Ⅰ INTRODUCTION TO DATA MINING

CHAPTER 1 What's It All About？

CHAPTER 2 Input:Concepts,Instances,and Attributes

CHAPTER 3 Output:Knowledge Representation

CHAPTER 4 Algorithms:The Basic Methods

CHAPTER 5 Credibility:Evaluating What's Been Learned

PART Ⅱ ADVANCED DATA MINING

CHAPTER 6 Implementations:Real Machine Learning Schemes

CHAPTER 7 Data Transformations

CHAPTER 8 Ensemble Learning

CHAPTER 9 Moving on:Applications and Beyond

PART Ⅲ THE WEKA DATA MINING WORKBENCH

CHAPTER 10 Introduction to Weka

CHAPTER 11 The Explorer

CHAPTER 12 The Knowledge Flow Interface

CHAPTER 13 The Experimenter

CHAPTER 14 The Command-Line Interface

CHAPTER 15 Embedded Machine Learning

CHAPTER 16 Writing New Learning Schemes

CHAPTER 17 Tutorial Exercises for the Weka Explorer

REFERENCES

INDEX