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 H  Pages 375-394

  12.Tutorial I   Pages 395-412

  13.Tutorial J   Pages 413-416

  14.Tutorial K  Pages 417-455

  15.Tutorial L  Pages 457-507

  16.Tutorial M Pages 509-532

  17.Tutorial N  Pages 533-542

  18.Tutorial O  Pages 543-556

  19.Tutorial P  Pages 557-583

  20Tutorial Q   Pages 585-603

  21.Tutorial R  Pages 605-643

  22.Tutorial S  Pages 645-656

  23.Tutorial T  Pages 657-679

  24.Tutorial U  Pages 681-701

  25.Tutorial V  Pages 703-750

  26.Tutorial W  Pages 751-772

  27.Tutorial X  Pages 773-796

  28.Tutorial y  Pages 797-801

  29.Tutorial Z  Pages 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