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Web Data Mining and Applications in Business Intelligence and Counter-Terrorism
 
 
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Web Data Mining and Applications in Business Intelligence and Counter-Terrorism [Hardcover]

Bhavani Thuraisingham (Author)
4.0 out of 5 stars  See all reviews (10 customer reviews)

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Book Description

0849314607 978-0849314605 June 26, 2003 1
The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence.

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications. The tools and methods of Web mining are revealed in an easy-to-understand style, emphasizing the importance of practical, hands-on experience in the creation of successful e-business solutions.

The author, a program director for Data and Applications Security at the National Science Foundations, details how both opportunities and dangers on the Web can be identified and managed. Armed with the knowledge contained in this book, businesses can collect and analyze Web-based data to help develop customer relationships, increase sales, and identify existing and potential threats. Organizations can apply these same Web mining techniques to battle the real and present danger of terrorism, demonstrating Web mining's critical role in the intelligence arsenal.

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Product Details

  • Hardcover: 544 pages
  • Publisher: CRC Press; 1 edition (June 26, 2003)
  • Language: English
  • ISBN-10: 0849314607
  • ISBN-13: 978-0849314605
  • Product Dimensions: 9.7 x 6.1 x 1.4 inches
  • Shipping Weight: 2.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Best Sellers Rank: #3,285,406 in Books (See Top 100 in Books)

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Customer Reviews

10 Reviews
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Average Customer Review
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4 of 4 people found the following review helpful:
2.0 out of 5 stars Amazing how someone can turn 50 pages to 500 pages, November 4, 2003
This review is from: Web Data Mining and Applications in Business Intelligence and Counter-Terrorism (Hardcover)
I am amazed how someone can write 500 pages about a 50 pages subject. The only thing that the book does not cover is counter-terrorism. Too many unrelated drawings to fill pages, too many times reapting the same subject with different heading. Just assembling bunch of un-related stuff in a book.
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2 of 2 people found the following review helpful:
2.0 out of 5 stars Superficial and disappointing, October 8, 2006
This review is from: Web Data Mining and Applications in Business Intelligence and Counter-Terrorism (Hardcover)
I have to agree with the views of the other "not so good" reviewers. I am looking for leads in a very exciting area and this book seems to provide little more than superficial comment and a nostalgia towards 9/11. I agree that the diagrams are rather perfunctory and the repetetiveness gets rather tedious. Some of the definitions around this subject area need clarification and this has not satisfied this requirement. There's little doubt that there is a growing and exciting research area here but I feel this book is rather premature and does little more than try to be a "first" in this area. We need a follow up text that gets down to the nitty gritty of the technicalities. This book is completely technically-shy. A great pity, but perhaps in its defense it never purported to be any other.
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1 of 1 people found the following review helpful:
4.0 out of 5 stars Timely and useful, January 13, 2004
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This review is from: Web Data Mining and Applications in Business Intelligence and Counter-Terrorism (Hardcover)
This book is extremely timely. It discusses a great deal about data mining and in some detail the applications in counter-terrorism. As stated in the preface, it is written at a high level for managers and will be a useful reference. It does not however go into the details of how data mining tools could be applied for national security applications. Perhaps the field it too new. It discusses the concerns that civil liberties unions have on privacy and shows how privacy may be maintained while carrying out data mining. On the whole it is a very good book.
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Inside This Book (learn more)
First Sentence:
Recent developments in information systems technologies have resulted in computerizing many applications in various business areas. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
web mining technologies, sensor information management, illustrates data mining, collaborative data mining, data mining outcomes, insider threat analysis, audio mining, migrating legacy databases, mining usage patterns, various data mining techniques, collaborative computing systems, various data mining technologies, video mining, access access module, secure database systems, data mining prototypes, mining multimedia data, multimedia data mining, statistical reasoning techniques, metadata mining, access control violations, sophisticated data mining tools, business intelligence analysis, distributed object management systems, multimedia data management
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Web Web, World Wide Web, Department of Homeland Security, United States, New York, Object Design, Object Management Group, Web Exhibit, Query Browser, Stanford University, Export Export, Jane Doe, Simon Fraser University, Update Security, Back-end Web, Chapters Web, Databases Conference, Enterprise Java Beans, Hitachi Corporation, Integrate Clean, Integrity Security, Intelligent Miner, Metadata Storage, Relational Semistructured, Revisiting Security Threats
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