Advanced Methods for Computational Collective Intelligence: Studies in Computational Intelligence, cartea 457
Editat de Ngoc Thanh Nguyen, Bogdan Trawiński, Radosław Katarzyniak, Geun-Sik Joen Limba Engleză Hardback – 13 oct 2012
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Specificații
ISBN-13: 9783642342998
ISBN-10: 364234299X
Pagini: 388
Ilustrații: X, 378 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.72 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 364234299X
Pagini: 388
Ilustrații: X, 378 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.72 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Part I: Semantic Web and Ontologies.- Part II: Social Networks and e-Learning.- Part III: Agent and Multiagent Systems.- Part IV: Data Mining Methods and Applications.- Part V: Soft computing.- Part VI: Optimization and Control.
Textul de pe ultima copertă
The book consists of 35 extended chapters which have been selected and invited from the submissions to the 4th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2012) held on November 28-30, 2012 in Ho Chi Minh City, Vietnam. The book is organized into six parts, which are semantic web and ontologies, social networks and e-learning, agent and multiagent systems, data mining methods and applications, soft computing, and optimization and control, respectively. All chapters in the book discuss theoretical and practical issues connected with computational collective intelligence and related technologies. The editors hope that the book can be useful for graduate and Ph.D. students in Computer Science, in particular participants in courses on Soft Computing, Multiagent Systems, and Data Mining. This book can be also useful for researchers working on the concept of computational collective intelligence in artificial populations. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to create new cases of intelligent collectives. Many such challenges are suggested by particular approaches and models presented in individual chapters of this book. The editors hope that readers of this volume can find many inspiring ideas and influential practical examples and use them in their future work.
Caracteristici
Latest research on Computational Collective Intelligence Presents advanced Methods for Computational Collective Intelligence Written by leading experts in the field