By Janusz Sobecki, Veera Boonjing, Suphamit Chittayasothorn
This ebook includes 35 chapters offering assorted theoretical and functional features of clever details and Database structures. these days either clever and Database structures are utilized in lots of the parts of human actions which necessitates extra examine in those parts. during this booklet quite a few fascinating matters regarding the clever info types and techniques in addition to their complicated purposes, database platforms functions, information versions and their research and electronic multimedia tools and functions are awarded and mentioned either from the sensible and theoretical issues of view. The ebook is prepared in 4 components dedicated to clever platforms versions and strategies, clever structures complicated purposes, database structures tools and purposes and multimedia platforms equipment and purposes. The e-book may be attention-grabbing for practitioners and researchers, specially graduate and PhD scholars of knowledge know-how and computing device technology, in addition more matured lecturers and experts drawn to constructing and verification of clever details, database and multimedia platforms versions, equipment and purposes. The readers of this quantity are enabled to discover many inspiring rules and motivating functional examples that would support them within the present and destiny work.
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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. In: Proceedings of the 2002 Congress on Evolutionary Computing, pp. 1045–1050 (2002) 11. : Self nonself discrimination in computer (1994) 12. : A new fault detection method based on artificial immune systems.
Acknowledgements. The Universiti Teknologi Malaysia (UTM) under research grant 03H02 and Ministry of Science, Technology & Innovations Malaysia, under research grant 4S062 are hereby acknowledged for some of the facilities utilized during the course of this research work. References 1. : PSO-Optimized Negative Selection Algorithm for Anomaly Detection. In: Applications of Soft Computing, vol. 52, pp. 13–21. Springer, Heidelberg (2009) 2. : Particle Swarm Optimization of detectors in Negative Selection Algorithm.
For that purpose it maximizes the distance (or margin) between the supporting planes for each class. Thus a point falling on the wrong side of its supporting plane is considered to be an error. Therefore, a SVM algorithm tries to simultaneously maximize the margin and minimize the error. g. linear, polynomial, radial basis or a sigmoid function, and a cost constant to tune the errors and margin size). 2 Random Forest Random forests, introduced in , are an ensemble learning method that aim to create a collection of decision trees (the forest).