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Mining Massive Data Sets for Security

Advances in Data Mining, Search, Social Networks and Text Mining, and Their Applications to Security

Mining Massive Data Sets for Security by F. Fogelman-Soulié
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The real power for security applications will come from the synergy of academic and commercial research focusing on the specific issue of security. Special constraints apply to this domain, which are not always taken into consideration by academic research, but are critical for successful security applications: large volumes - techniques must be able to handle huge amounts of data and perform 'on-line' computation; scalability - algorithms must have processing times that scale well with ever growing volumes; automation - the analysis process must be automated so that information extraction can 'run on its own'; ease of use - everyday citizens should be able to extract and assess the necessary information; and, robustness - systems must be able to cope with data of poor quality (missing or erroneous data). The NATO Advanced Study Institute (ASI) on Mining Massive Data Sets for Security, held in Italy, September 2007, brought together around ninety participants to discuss these issues.
IOS Press; October 2008
388 pages; ISBN 9781607503620
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Title: Mining Massive Data Sets for Security
Author: F. Fogelman-Soulié; D. Perrotta; J. Piskorski