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

Dan Sullivan (Author)


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Book Description

0471399590 978-0471399599 February 23, 2001 1
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

From the Back Cover

"This book combines a thorough introduction to document warehousing with an in-depth technical tutorial for implementation. Dan Sullivan truly leaves no stone unturned. This book is my de-facto document warehousing resource!"--Jill Dyche, Baseline Consulting Group

Most business information isn't neatly stored in databases. It's more likely found in a swirl of millions of Web pages, e-mails, and free-form text documents. To capture and tame this flood of information for decision making, businesses are now turning to document warehousing and text mining techniques.

This book provides database and data warehouse developers and managers with complete guidance on how to build and manage a document warehouse, how to organize unstructured text for easy storage and retrieval, and how to leverage text mining techniques to provide timely and accurate information for decision-makers.

You'll learn how document warehousing and text mining technologies compare with their numeric data warehousing and data mining counterparts, and discover essential tools for tapping into information resources within your company and across the Internet. With the help of example applications, checklists, and templates, this book teaches you to:
* Design the architecture of a document warehouse
* Find and retrieve text documents from multiple sources
* Load information into the warehouse and transform it to the desired form
* Select the right tools to thematically index, categorize, cluster, and summarize text
* Adapt the appropriate meta data for your document warehouse
* Use text mining for operational management, customer relationship management, and competitive analysis
* Ensure the security and privacy of your document warehouse

The companion Web site at www.wiley.com/compbooks/sullivan contains:
* Scripts for common tasks
* Document templates used in the design stage of document warehouse development
* Links to related sites

About 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.

Product Details

  • Paperback: 608 pages
  • Publisher: Wiley; 1 edition (February 23, 2001)
  • Language: English
  • ISBN-10: 0471399590
  • ISBN-13: 978-0471399599
  • Product Dimensions: 9.3 x 7.5 x 1.3 inches
  • Shipping Weight: 2.1 pounds
  • Amazon Best Sellers Rank: #2,210,908 in Books (See Top 100 in Books)

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Inside This Book (learn more)
First Sentence:
For most of us, thinking about business intelligence brings to mind data warehouses, multidimensional models, and ad hoc reports. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
document warehousing, text mining operations, text analysis operations, thematic indexing, document warehouse, relevancy signatures, business intelligence potential, public warehouse facility, warehouse practitioners, business intelligence operations, internal file systems, business intelligence value, feature extraction program, average document size, text mining tools, business intelligence requirements, text analysis tools, enterprise document management systems, semistructured texts, multidimensional taxonomies, feature extraction tool, text analysis techniques, text mining techniques, recursive retrieval, extracting documents
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Dublin Core, New York, Oracle Text, Common Warehouse Metamodel, World Wide Web, United States, Alpha Beta Chemical, Mary Smith, Alpha Industries, Gamma Chemical Computing, Patent Office, State Agriculture Commissioner Announces, Scheduled Event, Type Mapping, Open Information Model, Alpha Text Management, Document Management Alliance, European Union, Common Warehouse Model, Federal Trade Commission, Inxight's Hyperbolic Tree, John Jones, Lotus Notes, Microsoft Word, Open Document Management
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