Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security

TERROR INFORMATICS: Knowledge Management and Data Mining for Homeland Security will provide an interdisciplinary and comprehensive survey of the state-of-the-art of terrorism informatics domain along three basic dimensions: methodological issues in terrorism research; information infusion techniques to support terrorism prevention, detection, and response; and legal, social, privacy, and data confidentiality challenges and approaches. The book will bring "knowledge" that can be used by scientists, security professionals, counterterrorism experts, and policy makers.

The book will be organized into three major subject areas:

Part I will focus on the methodological issues in terrorism research. The methodological issues that impact trends, achievements, root causes, and failures in terrorism research will be treated within the context of the methods of retrieving and developing, sharing, and implementing terrorism informatics methodologies and resources. Part II will focus on three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. This section will systematically examine the current and ongoing research including recent case studies and application of terrorism informatics techniques. Examples of such techniques are web mining, social network analysis, and multimodal event extraction, analysis to the terrorism phenomenon, etc. Part III will present the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges.