数据挖掘：实用机器学习工具与技术（英文版 第三版） 作者：（新西兰）威滕，（新西兰）弗兰克 著 出版时间：2012年版 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. 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
