• First to detail how Web mining can be a crucial tool in the fight against terrorism
• A thorough discussion of the technologies that support Web mining, such as Web databases, pattern recognition, machine learning, and parallel processing
• Analysis of key aspects of Web mining and search engines, including the mining of multimedia data, content management, and security and privacy considerations
• Valuable overview of how data mining techniques can be applied toward aspects of business intelligence including CRM, competitive analysis, and internal threat assessment
• In-depth study of future directions of Web mining and counter-terrorism applications

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.

Contents

• Introduction
• Supporting technologies for web data mining world wide web and e-commerce
  • Data mining
  • Core data mining technologies
  • Web database management
  • Information retrieval systems
  • Information management technologies
  • The semantic web
• Web data mining techniques, tools, and trends data mining and the web processes and techniques for web data mining
  • Mining the databases on the web
  • Information retrieval and web data mining
  • Information management and web data mining
  • Semantic web mining
  • Mining usage patterns and structure on the web
  • Prototypes, products, and standards for web data mining
  • Some applications for web mining
• Web data mining applications for counter-terrorism
  • Some information on terrorism, security threats, and protection measures
  • Web data mining for counter-terrorism
  • Mining the web databases for counter-terrorism
  • Information retrieval and web mining for counter-terrorism
  • Information management and web mining for counter-terrorism
  • Semantic web mining for counter-terrorism
  • Web usage and structure mining for counter-terrorism
  • National security, privacy, civil liberties, and web mining
  • Revisiting security threats with respect to web mining
  • E-commerce, business intelligence, and counter-terrorism
  • Summary and directions
• Appendices
  • Data management systems: developments and trends
  • Database systems and related technologies
  • Data and information security