On September 11, 2001 the World became completely cognizant of the security challenges it faces on an international scale. With this awareness a commitment has come from the scientific, engineering, and health communities to help meet the world meet an array of security challenges. From these activities the science of "Intelligence and Security Informatics," is emerging, which will influence a new generation of policy makers, practitioners, researchers, and students. This book presents a systematic national security research framework, and within this context, the book discusses IT technical components, and directions. The book synthesizes the research in the field, focusing on information integration and data mining in particular. Integrated in the discussion are a number of real-world case studies illustrating how security technologies are developed and how they can be applied in critical law enforcement, emergency response, intelligence analysis, and terrorism contexts.

Reflects a decade of leading-edge research on intelligence and security informatics Dr Chen is researcher at the Artificial Intelligence Laboratory and the NSF COPLINK Center for Homeland Security Information Technology Research Describes real-world community situations Targets wide-ranging audience: from researchers in computer science, information management and information science via analysts and policy makers in federal departments and national laboratories to consultants in IT hardware, communication, and software companies Includes supplementary material: sn.pub/extras

Autorentext

Dr. Robert Schumaker is an Assistant Professor in Information Systems at Iona College. Rob's overall research interests involve the uses of technology to acquire, deliver and make predictions in a variety of Business-related environments. These interests further branch into computer mediated communications, design science, human computer interfaces, machine learning algorithms, natural language processing, technology acceptance models and textual data mining. His recent research has focused on Sports Knowledge Management and Data Mining of relevant data from Sports-related databases and producing accurate predictions that can provide an edge to sports organizations and gamblers alike. Using the Moneyball style philosophy, this project analyzes the use of different machine learning techniques to predict outcomes of sporting events. He has authored or co-authored many journal articles, including ACM Transactions on Information Systems, Decision Support Systems, IEEE Systems, Man and Cybernetics - Part A and Communications of the ACM. Osama K. Solieman attended the University of Arizona graduating with a BS in Computer Science in 2003. In 2006, he received a MS in Management Information Systems where he was also the lead researcher on a database project for the Department of Electrical & Computer Engineering. Currently, he is an IT Consultant regularly working with Fortune 500 companies and traveling extensively around the world. He remains an avid sports fan and is active in his community. Hsinchun Chen is McClelland Professor of Management Information Systems (MIS) at the Eller College of the University of Arizona and Andersen Consulting Professor of the Year (1999). He is the author of 15 books and more than 200 articles covering knowledge management, digital library, homeland security, Web computing, andbiomedical informatics in leading information technology publications. He serves on ten editorial boards, including: Journal of the American Society for Information Science and Technology, ACM Transactions on Information Systems, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Intelligent Transportation Systems, International Journal of Digital Library, and Decision Support Systems. He has served as a Scientific Advisor/Counselor of the National Library of Medicine (USA), Academia Sinica (Taiwan), and National Library of China (China). Dr. Chen founded The University of Arizona Artificial Intelligence Lab in 1990. The group is distinguished for its applied and high-impact AI research. Since 1990, Dr. Chen has received more than $20M in research funding from various government agencies and major corporations. He has been a PI of the NSF Digital Library Initiative Program and the NIH NLM's Biomedical Informatics Program. His group has developed advanced medical digital library and data and text mining techniques for gene pathway and disease informatics analysis and visualization since 1995. Dr. Chen's nanotechnology patent analysis works, funded by NSF, have been published in the Journal of Nanoparticle Research. His research findings were used in the President's Council of Advisors in Science and Technology's report on "The National Nanotechnology Initiative at Five Years: Assessment and Recommendations of the National Nanotechnology Advisory Panel." Dr. Chen's work also has been recognized by major US corporations and been awarded numerous industry awards for his contribution to IT education and research, including: AT&T Foundation Award in Science and Engineering and SAP Award in Research/Applications. Dr. Chen has been heavily involved in fostering digital library, medical informatics, knowledge management, and intelligence informatics research and education in the US andinternationally. He has been a PI for more than 20 NSF and NIH research grants since 1990. Dr. Chen is conference chair of

Inhalt
Intelligence and Security Informatics (ISI): Challenges and Opportunities.- An ISI Research Framework: Information Sharing and Data Mining.- ISI Research: Literature Review.- National Security Critical Mission Areas and Case Studies.- Intelligence and Warning.- Border and Transportation Security.- Domestic Counter-Terrorism.- Protecting Critical Infrastructure and Key Assets.- Defending Against Catastrophic Terrorism.- Emergency Preparedness and Response.- The Partnership and Collaboration Framework.- Conclusions and Future Directions.- Acknowledgements.- References.