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Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

Hot Research Book in Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

Author(s) Name:  Bhavani Thuraisingham

About the Book:

   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.

Table of Contents

  • SUPPORTING TECHNOLOGIES FOR WEB DATA MINING WORLD WIDE WEB AND E-COMMERCE
  •   Evolution of the Web
      Introduction to E-Commerce
      Relationship to Web Data Mining
  • DATA MINING
  •   Data Mining Technologies
      Concepts and Techniques in Data Mining
      Directions and Trends in Data Mining
  • CORE DATA MINING TECHNOLOGIES
  •   Data Management and Data Warehousing
      Statistical Reasoning
      Machine Learning
      Architectural Support for Data Mining
      Relationship to Web Data Mining
  • WEB DATABASE MANAGEMENT
  •   Web Databases
      Semi-Structured Databases
      Metadata, Ontologies, and the Web
  • INFORMATION MANAGEMENT TECHNOLOGIES
  •   Collaboration and Data Management
      Wireless Information Management and Pervasive Computing
      Sensor Information Management
  • PROCESSES AND TECHNIQUES FOR WEB DATA MINING
  •   Process of Web Data Mining
      Web Data Mining Outcomes, Approaches, and Techniques
      Mining Distributed, Heterogeneous, Legacy, and Federated Databases on the Web

    ISBN:  9780849314605

    Publisher:  CRC Press

    Year of Publication:  2003

    Book Link:  Home Page Url