数据挖掘书籍：

《Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications》

作者: Gary Miner / John Elder / Thomas Hill / Robert Nisbet / Dursun Delen

出版年: 2012-1
页数: >1000
定价: $ 90.34
ISBN: 9780123869791

Table of Contents

Front Matter, Page iii

Copyright, Page iv

Dedication, Page v

Endorsements for Practical Text Mining & Statistical Analysis for Non-structured Text Data Applications, Pages xi-xiv

Foreword 1, Pages xv-xvi

Foreword 2, Pages xvii-xviii

Foreword 3, Pages xix-xx

Acknowledgments, Pages xxi-xxii

Preface, Pages xxiii-xxiv

About the Authors, Pages xxv-xxix

Introduction, Pages xxxi-xxxvi

List of Tutorials by Guest Authors, Pages xxxvii-xl

Part I: Basic Text Mining Principles

Chapter 1 - The History of Text Mining, Pages 3-27

Chapter 2 - The Seven Practice Areas of Text Analytics, Pages 29-41

Chapter 3 - Conceptual Foundations of Text Mining and Preprocessing Steps, Pages 43-51

Chapter 4 - Applications and Use Cases for Text Mining, Pages 53-72

Chapter 5 - Text Mining Methodology, Pages 73-89

Chapter 6 - Three Common Text Mining Software Tools, Pages 91-121

Part II: Introduction to the Tutorial and Case Study Section of This Book

1.Introduction, Pages 123-125

2.Tutorial AA Pages127-131

3.Tutorial BB Pages 133-149

4.Tutorial A Pages 151-180

5.Tutorial B Pages 181-201

6.Tutorial C Pages 203-231

7.Tutorial D Pages 233-249

8.Tutorial E Pages 251-271

9.Tutorial F Pages 273-355

10.Tutorial G Pages 357-374

11.Tutorial HPages 375-394

12.Tutorial I Pages 395-412

13.Tutorial J Pages 413-416

14.Tutorial KPages 417-455

15.Tutorial LPages 457-507

16.Tutorial M Pages 509-532

17.Tutorial NPages 533-542

18.Tutorial OPages 543-556

19.Tutorial PPages 557-583

20Tutorial Q Pages 585-603

21.Tutorial RPages 605-643

22.Tutorial SPages 645-656

23.Tutorial TPages 657-679

24.Tutorial UPages 681-701

25.Tutorial VPages 703-750

26.Tutorial WPages 751-772

27.Tutorial XPages 773-796

28.Tutorial yPages 797-801

29.Tutorial ZPages 803-878

Part III: Advanced Topics

Chapter 7 - Text Classification and Categorization, Pages 881-892

Chapter 8 - Prediction in Text Mining: The Data Mining Algorithms of Predictive Analytics, Pages 893-919

Chapter 9 - Entity Extraction, Pages 921-928

Chapter 10 - Feature Selection and Dimensionality Reduction, Pages 929-934

Chapter 11 - Singular Value Decomposition in Text Mining, Pages 935-947

Chapter 12 - Web Analytics and Web Mining, Pages 949-957

Chapter 13 - Clustering Words and Documents, Pages 959-966

Chapter 14 - Leveraging Text Mining in Property and Casualty Insurance, Pages 967-982

Chapter 15 - Focused Web Crawling, Pages 983-989

Chapter 16 - The Future of Text and Web Analytics, Pages 991-1005

Chapter 17 - Summary, Pages 1007-1016

Glossary, Pages 1017-1024

Index, Pages 1025-1046

How to Use the Data Sets and the Text Mining Software on the DVD or on Links for Practical Text Mining, Pages 1047-1053