数据挖掘

出版时间：2012-4  出版社：机械工业出版社  作者：（新西兰）Ian H.Witten,（新西兰）Eibe Frank,（新西兰）Mark A. Hall  
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内容概要

　  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 copyright  2011 by Elsevier Inc. All rights reserved.　  Authorized English language reprint edition published by the Proprietor.　  Copyright  2012 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.

作者简介

作者：(新西兰)威腾 (Witten.I.H.) (新西兰)弗兰克 (Frank.E.) (新西兰)霍尔 (Hall.M.A.)

书籍目录

PREFACEUpdated and Revised ContentSecond EditionThird EditionACKNOWLEDGMENTSABOUT THE AUTHORSPART Ⅰ INTRODUCTION TO DATA MININGCHAPTER 1 What's It All About？CHAPTER 2 Input:Concepts,Instances,and AttributesCHAPTER 3 Output:Knowledge RepresentationCHAPTER 4 Algorithms:The Basic MethodsCHAPTER 5 Credibility:Evaluating What's Been LearnedPART Ⅱ ADVANCED DATA MININGCHAPTER 6 Implementations:Real Machine Learning SchemesCHAPTER 7 Data TransformationsCHAPTER 8 Ensemble LearningCHAPTER 9 Moving on:Applications and BeyondPART Ⅲ THE WEKA DATA MINING WORKBENCHCHAPTER 10 Introduction to WekaCHAPTER 11 The ExplorerCHAPTER 12 The Knowledge Flow InterfaceCHAPTER 13 The ExperimenterCHAPTER 14 The Command-Line InterfaceCHAPTER 15 Embedded Machine LearningCHAPTER 16 Writing New Learning SchemesCHAPTER 17 Tutorial Exercises for the Weka ExplorerREFERENCESINDEX

章节摘录

版权页：PARTIntroduction to Data Mining 1What's It All About? 1Human in vitro feriilization involves collecting several eggs from a woman's ovanes，which， after fertilization with partner or donor sperm， produce several embryos.Some of these are selected and transferred to the woman's uterus. The challenge is to select the "best" embryos to use-the ones that are mosi likely to survive. Selection is based on around 60 recorded features of the embryos-charaaerizing their morphology. oocyte. and follicle. and the sperm sample. The number of feacures is large enough to make it difficult for an embryologist to assess them all simultaneously and correlate historical data with the cruciaJ outcome of whether that embryo did or did not result in a live child. In a research project in England.

编辑推荐

《数据挖掘:实用机器学习工具与技术(英文版•第3版)》编辑推荐：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.

用户评论 (总计17条)

•   数据挖掘，机器学习的经典教科书。
•   数据挖掘中很经典的一本书！
•   经典好书，从第1版-到第3版
•   这本书有中文版，据说翻译一般，所以还是看原版比较好。主要介绍了weka这个软件包，很实用。
•   第三版真的比前两版好多了。值得收藏
•   非常好的一本书,有中文版再买一本
•   要看完好需要耐力啊！
•   封面和书的排版印刷都非常好！！！内容安排也很合理！！！灰常喜欢！！！
•   最喜欢weka的章节，其他书没有，就这本书非常详细的介绍了weka。另外老外写的书的确是显浅易懂，英语不太差的应该都没有问题。
•   还没看，不过感觉还挺好的。
•   是正版书。书的质量非常好。纸张特别厚。就是塑料薄膜被磨破了，书的侧边有点脏了。不过价格赶**当周年庆折扣很大很划算。物流非常快。
•   英文版，要好好看，经典之作
•   很喜欢，正在阅读中。
•   很厚的一本，但是相信看完一定大有收获
•   作为兴趣爱好
•   本人都是一贯的买英文书自学，这本书不适合自学
•   　　国内教科书都是先进来源、历史、分类、发展、趋势等。外国人写的上来稍微介绍一下就像专业知识进军啦