Intelligent Data Engineering and Automated Learning – IDEAL 2015: 16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings: Lecture Notes in Computer Science, cartea 9375
Editat de Konrad Jackowski, Robert Burduk, Krzysztof Walkowiak, Michal Wozniak, Hujun Yinen Limba Engleză Paperback – oct 2015
The 64 revised full papers presented were carefullyreviewed and selected from 127 submissions. These papers provided a valuablecollection of recent research outcomes in data engineering and automatedlearning, from methodologies, frameworks, and techniques to applications. Inaddition to various topics such as evolutionary algorithms, neural networks,probabilistic modeling, swarm intelligent, multi-objective optimization, andpractical applications in regression, classification, clustering, biologicaldata processing, text processing, video analysis, IDEAL 2015 also featured anumber of special sessions on several emerging topics such as computationalintelligence for optimization of communication networks, discovering knowledgefromdata, simulation-driven DES-like modeling and performance evaluation, andintelligent applications in real-world problems.
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Specificații
ISBN-13: 9783319248332
ISBN-10: 3319248332
Pagini: 560
Ilustrații: XX, 560 p. 153 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.8 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 3319248332
Pagini: 560
Ilustrații: XX, 560 p. 153 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.8 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
Cuprins
Evolutionary algorithms.- Neural networks.- Probabilistic modeling.- Swarm intelligent, multi-objective optimization, and practical applications in regression.- Classification.- Clustering.-Biological data processing.- Text processing.- Video analysis.- Computational intelligence for optimization of communication networks.- Discovering knowledge from data.- Simulation-driven DES-like modeling and performance evaluation.- Intelligent applications in real-world problems.