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Titlebook: Information and Communication Technologies; International Confer Vinu V Das,R. Vijaykumar Conference proceedings 2010 Springer-Verlag Berli

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Learning Classifier Systems Approach for Automated Discovery of Hierarchical Censored Production Rul adaptive system that learns to perform the best action given its input. By . is generally meant the action that will receive the most reward or reinforcement from the system’s environment. A classifier system consists of three main components: rule and message system, apportionment of credit system
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Inference of Gene Networks from Microarray Data through a Phenomic Approachtional methods of drug discovery and disease diagnosis is dependent upon our understanding of the biological basis of the interaction networks between the genes. Better modelling of biological processes and powerful evolutionary methods are proving to be a key factor in the solution of such problems
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A Novel Lattice Based Research Frame Work for Identifying Web User’s Behavior with Web Usage Miningusers’ access patterns from web logs. This information can be used to identify the behavior of the web user. However, the web data will grow rapidly in the short time, and some of the web data may be antiquated. The user behavior may be changed when the new web data is inserted into and the old web
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Enhanced Substitution-Diffusion Based Image Cipher Using Improved Chaotic Maps the odd key values. Byte substitution is applied in the second step to improve the security against the known/chosen-plaintext attack. Finally, confusion and diffusion are obtained using the sub diagonal diffusion of adjacent pixels and XORing with the chaotic key. The numbers of rounds in the ste
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Network Forensic Analysis by Correlation of Attacks with Network Attributesm incidents. We extend our previously proposed model for collecting network data, identifying suspicious packets, examining protocol features misused and correlating attack attributes. This model is capable of handling attacks on the TCP/IP suite. The results obtained by this model are validated.
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