Download Computational Intelligence in Security for Information by Saif ur Rehman, Muhammed Naeem Ahmed Khan (auth.), Álvaro PDF

By Saif ur Rehman, Muhammed Naeem Ahmed Khan (auth.), Álvaro Herrero, Emilio Corchado, Carlos Redondo, Ángel Alonso (eds.)

This quantity of Advances in clever and tender Computing comprises approved papers provided on the 3rd foreign convention on Computational Intelligence in defense for info structures (CISIS'10), which was once held within the attractive and old urban of León, Spain, in November, 2010.

Since it beginning, the most target of CISIS meetings has been to set up a extensive and interdisciplinary discussion board for Computational Intelligence and linked studying Paradigms, that are taking part in more and more very important roles in plenty of program parts regarding safety in details Systems.

CISIS'10 supplied a large and interdisciplinary discussion board to offer the latest advancements in different very energetic clinical parts equivalent to desktop studying, Infrastructure safeguard, clever tools in strength and Transportation, community protection, Biometry, Cryptography, High-performance and Grid Computing, and business standpoint between others. the worldwide goal of the CISIS sequence of meetings has been to shape a wide and interdisciplinary assembly flooring supplying the chance to engage with the prime learn staff and industries actively considering the serious region of safety, and feature an image of the present ideas followed in sensible domains.

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Extra info for Computational Intelligence in Security for Information Systems 2010: Proceedings of the 3rd International Conference on Computational Intelligence in Security for Information Systems (CISIS’10)

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In this work, we use the genetic programming originally developed for search query optimization to evolve general fuzzy classifiers for data mining. 1 GP for the Evolutionary Query Optimization The GP has been recently used for the optimization of extended Boolean queries [9, 10]. It was shown that the GP was able to optimize search queries so that they described a set of relevant documents. In the fuzzy information retrieval model, the relevant documents formed a fuzzy subset of the universe of all documents and the extended Boolean queries were evolved to describe them.

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