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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
Part II part4.rar
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Part II part3.rar
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Part II part2.rar
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本附件包括：
Part II part1.rar
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本附件包括：
Part I.rar
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Part III.rar
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