Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing and Sales

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Overview

What developers need to know about the rapidly growing technologies of document warehousing and text mining
This unique book shows warehouse developers and managers how to build this new type of warehouse, how to organize free-form text for easy access, and, most importantly, how to exploit text mining techniques to provide timely and accurate information for decision-makers. The author covers the complete process of building and managing a document warehouse, including examples...
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More About This Book

Overview

What developers need to know about the rapidly growing technologies of document warehousing and text mining
This unique book shows warehouse developers and managers how to build this new type of warehouse, how to organize free-form text for easy access, and, most importantly, how to exploit text mining techniques to provide timely and accurate information for decision-makers. The author covers the complete process of building and managing a document warehouse, including examples of actual implementations, a review of security issues and tools such as XML and Wide Area Information Servers and their selection criteria, and how text mining techniques are different from data mining techniques.
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Editorial Reviews

Booknews
This guide for database and data warehouse developers and managers describes the process of building and managing a document warehouse, the organization of unstructured text to facilitate storage and retrieval, and the use of text mining techniques. Coverage includes, for example, text-oriented business intelligence operations, space requirements, end-user support, the metadata repository and document data model, manual and automatic retrieval methods, file system security, and text mining for competitive intelligence. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780471399599
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 2/28/2001
  • Edition number: 1
  • Pages: 560
  • Product dimensions: 7.51 (w) x 9.25 (h) x 1.23 (d)

Meet the Author

DAN SULLIVAN, Director of Data Warehousing at Computer Resource Team Inc., designs business intelligence solutions for a variety of industries. He has 15 years of experience in developing natural language processing and database applications and is widely published on data warehousing and text analysis for business intelligence.
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Table of Contents

Acknowledgments.

Preface.

TEXT ANALYSIS FOR BUSINESS INTELLIGENCE.

Expanding the Scope of Business Intelligence.

Understanding the Structure of Text: The Foundation of Text-Based Business Intelligence.

Exploiting the Structure of Text.

DOCUMENT WAREHOUSING.

Overview of Document Warehousing.

Meeting Business Intelligence Requirements: More Than Just Numbers.

Designing the Document Warehouse Architecture.

Finding and Retrieving Relevant Text.

Loading and Transforming Documents.

Managing Document Warehouse Metadata.

Ensuring Document Warehouse Integrity.

Choosing Tools for Building the Document Warehouse.

Developing a Document Warehouse: A Checklist.

TEXT MINING.

What Is Text Mining?

Know Thyself: Using Text Mining for Operational Management.

Knowing Your Business-to-Business Customer: Text Mining for Customer Relationship Management.

Text Mining for Competitive Intelligence.

Text Mining Tools.

CONCLUSION.

Changes in Business Intelligence.

Appendix A: Templates.

Appendix B: Tools and Resources.

Appendix C: Basic Document Warehouse Data Model.

Bibliography.

Glossary.

Index.

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First Chapter

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