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Download PDF by Li-Chiou Chen, Boris Kaminsky, Tiffany Tummino, Kathleen M.: Intelligence and Security Informatics: Second Symposium on

By Li-Chiou Chen, Boris Kaminsky, Tiffany Tummino, Kathleen M. Carley, Elizabeth Casman (auth.), Hsinchun Chen, Reagan Moore, Daniel D. Zeng, John Leavitt (eds.)

ISBN-10: 3540221255

ISBN-13: 9783540221258

ISBN-10: 354025952X

ISBN-13: 9783540259527

This publication constitutes the refereed complaints of the second one Symposium on Intelligence and safeguard Informatics, ISI 2004, held in Tucson, AZ, united states in June 2004.

The 29 revised complete papers and 12 revised brief papers awarded including 6 prolonged abstracts of posters and three panel dialogue summaries have been conscientiously reviewed and chosen for inclusion within the e-book. The papers are equipped in topical sections on bioterrorism and ailment informatics; information entry, privateness, and belief administration; facts administration and mining; deception detection; details insurance and infrastructure defense; tracking and surveillance; safeguard guidelines and assessment; and social community analysis.

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Read Online or Download Intelligence and Security Informatics: Second Symposium on Intelligence and Security Informatics, ISI 2004, Tucson, AZ, USA, June 10-11, 2004. Proceedings PDF

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Additional resources for Intelligence and Security Informatics: Second Symposium on Intelligence and Security Informatics, ISI 2004, Tucson, AZ, USA, June 10-11, 2004. Proceedings

Example text

We use a number of effective techniques to provide an adequate level of quality assurance in our healthcare data warehouse [3]. Reconstructing and analyzing historical patterns are tasks well suited to data warehousing technologies. This retrospective view is appropriate for the communitylevel health status reports that drove the early data warehouse development work. However, new tasks such as surveillance systems for bioterrorism require more timely data and real-time data warehousing approaches.

These innovative data warehouse components are used to store partially available real-time data. The components act as persistent memory for incomplete real-time data that are preprocessed for comparative queries against the archival data warehouse components, and possibly overwritten as new data become available. The flash components share common metadata with the archival data warehouse, making the important data items useful for cross queries. It is these common data items that serve as input to decision support systems and pattern recognition algorithms that may ultimately help identify potentially abnormal events.

First, you can clearly see the seasonality in categories such 24 Donald J. Berndt et al. as acute respiratory infections with the first and fourth quarters (the fall/winter) showing much higher numbers of cases. Secondly, the second quarter of 2001 does seem to have a somewhat higher rate of lung diseases due to external agents, as well as pneumonia and influenza. While this could simply be due to a nasty flu season, we will continue to drill-down to finer levels of granularity as part of our example.

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Intelligence and Security Informatics: Second Symposium on Intelligence and Security Informatics, ISI 2004, Tucson, AZ, USA, June 10-11, 2004. Proceedings by Li-Chiou Chen, Boris Kaminsky, Tiffany Tummino, Kathleen M. Carley, Elizabeth Casman (auth.), Hsinchun Chen, Reagan Moore, Daniel D. Zeng, John Leavitt (eds.)


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