Data mining:practical machine learning tools and techniques

副标题：无

作者：(新西兰)Lan H. Witten，(新西兰)Eibe Frank，(新西兰)Mark A. Hall著

分类号：

ISBN：9787111374176

收录收藏 (0) 评论纠错

微信扫一扫,移动浏览光盘

简介

简介

《数据挖掘-实用机器学习工具与技术(英文版·第3版)》,本书是机器学习和数据挖掘领域的经典畅销教材,被众多国外名校选为教材。书中不仅详细介绍机器学习的基本理论,还对实际工作中应用的相关工具和技术提了一些建议。本版对上一版内容进行了全面更新,以反映自第2版出版以来数据挖掘领域的技术变革和新方法,包括数据转换、集成学习、大规模数据集、多示例学习方面的新材料,以及新版的Weka机器学习软件。

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

已确认勘误

页码	勘误内容	提交人	修订印次

Data mining:practical machine learning tools and techniques

名称
类型
大小

用户反馈

FAQ

Data mining:practical machine learning tools and techniques

已确认勘误

第次印刷 筛选

第次印刷