Download Advanced Approaches to Intelligent Information and Database by Janusz Sobecki, Veera Boonjing, Suphamit Chittayasothorn PDF

By Janusz Sobecki, Veera Boonjing, Suphamit Chittayasothorn

This ebook contains 35 chapters providing varied theoretical and functional points of clever details and Database platforms. these days either clever and Database platforms are utilized in many of the components of human actions which necessitates extra learn in those parts. during this booklet a variety of attention-grabbing concerns relating to the clever details types and techniques in addition to their complex purposes, database platforms purposes, info types and their research and electronic multimedia equipment and purposes are offered and mentioned either from the sensible and theoretical issues of view. The publication is prepared in 4 components dedicated to clever structures versions and techniques, clever structures complex functions, database structures tools and purposes and multimedia structures equipment and purposes. The publication might be fascinating for practitioners and researchers, particularly graduate and PhD scholars of data know-how and desktop technology, in addition more matured lecturers and experts drawn to constructing and verification of clever details, database and multimedia structures types, equipment and purposes. The readers of this quantity are enabled to discover many inspiring principles and motivating functional examples that might support them within the present and destiny work.

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Springer, Heidelberg (2003) 5. : Increasing the accuracy of a spam-detecting artificial immune system. In: The 2003 Congress on Evolutionary Computation, CEC 2003, December 8-12, vol. 391, pp. 390–396 (2003) 6. : Immunity from Spam: An Analysis of an Artificial Immune System for Junk Email Detection. I. ) ICARIS 2005. LNCS, vol. 3627, pp. 276–289. Springer, Heidelberg (2005) 7. : Application of genetic optimized artificial immune system and neural networks in spam detection. Applied Soft Computing 11(4), 3827–3845 (2011) 8.

2), and the conflict between them is weak, then the selected strategy is Submitting. Agent a4 is removed from the set, thus eliminating the sixth conflict. e. CAS={(aM, [a1, a2, a4]), (aM, a3), ([a1, a2, a4], a3)}. In the first iteration of stage three, conflict is between aM and the agent group (a1, a2, a4). In this case, the total confidence value of the triplet (4+3+2= 9) is greater than confidence value of aM (6), and the conflict is strong. The resolution model suggests that the strategy to resolve this conflict is Forcing, so that the selected plan is P4 favoring the agent group.

Application of genetic optimized artificial immune system and neural networks in spam detection. Applied Soft Computing 11(4), 3827–3845 (2011) 8. : Optimising anti-spam filters with evolutionary algorithms. Expert Systems with Applications 40(10), 4010–4021 (2013) 9. : Parameter Optimization of Local-Concentration Model for Spam Detection by Using Fireworks Algorithm. , Mo, H. ) ICSI 2013, Part I. LNCS, vol. 7928, pp. 439–450. Springer, Heidelberg (2013) 10. : Revisiting LISYS: parameters and normal behavior.

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