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,...

Focusing on a data-centric perspective, this is an overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide the volume: Part One describes technologies for data mining database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining. Part Two presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on...

Semantic Webs promise to revolutionize the way computers find and integrate data over the internet. They will allow Web agents to share and reuse data across applications, enterprises, and community boundaries. However, this improved accessibility poses a greater threat of unauthorized access, which could lead to the malicious corruption of information. Building Trustworthy Semantic Webs addresses the urgent demand for the development of effective mechanisms that will protect and secure semantic Webs.
Design Flexible Security Policies to Improve Efficiency
Securing...