Commercial Data Mining. Processing, Analysis and Modeling for Predictive Analytics Projects

✍ Scribed by David Nettleton (Auth.)

Publisher: Morgan Kaufmann
Year: 2014
Tongue: English
Leaves: 339
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Content:
Front Matter, Pages i-ii
Copyright, Page iv
Acknowledgments, Page xi
Chapter 1 - Introduction, Pages 1-6
Chapter 2 - Business Objectives, Pages 7-16
Chapter 3 - Incorporating Various Sources of Data and Information, Pages 17-47
Chapter 4 - Data Representation, Pages 49-66
Chapter 5 - Data Quality, Pages 67-78
Chapter 6 - Selection of Variables and Factor Derivation, Pages 79-104
Chapter 7 - Data Sampling and Partitioning, Pages 105-117
Chapter 8 - Data Analysis, Pages 119-136
Chapter 9 - Data Modeling, Pages 137-157
Chapter 10 - Deployment Systems: From Query Reporting to EIS and Expert Systems, Pages 159-170
Chapter 11 - Text Analysis, Pages 171-179
Chapter 12 - Data Mining from Relationally Structured Data, Marts, and Warehouses, Pages 181-193
Chapter 13 - CRM – Customer Relationship Management and Analysis, Pages 195-208
Chapter 14 - Analysis of Data on the Internet I – Website Analysis and Internet Search, Pages 209-210
Chapter e14 - Analysis of Data on the Internet I – Website Analysis and Internet Search, Pages e1-e13
Chapter 15 - Analysis of Data on the Internet II – Search Experience Analysis, Page 211
Chapter e15 - Analysis of Data on the Internet II – Search Experience Analysis, Pages e15-e26
Chapter 16 - Analysis of Data on the Internet III – Online Social Network Analysis, Page 213
Chapter e16 - Analysis of Data on the Internet III – Online Social Network Analysis, Pages e27-e42
Chapter 17 - Analysis of Data on the Internet IV – Search Trend Analysis over Time, Pages 215-216
Chapter e17 - Analysis of Data on the Internet IV – Search Trend Analysis over Time, Pages e43-e53
Chapter 18 - Data Privacy and Privacy-Preserving Data Publishing, Pages 217-228
Chapter 19 - Creating an Environment for Commercial Data Analysis, Pages 229-238
Chapter 20 - Summary, Page 239
Appendix - Case Studies, Pages 241-275
Glossary, Page 277
Glossary, Pages e55-e59
Bibliography, Pages 279-280
Index, Pages 281-288

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