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Transactions on Computational Collective Intelligence XVIII 1st ed. 2015 [Pehme köide]

  • Formaat: Paperback / softback, 201 pages, kõrgus x laius: 235x155 mm, kaal: 3285 g, 50 Illustrations, black and white; IX, 201 p. 50 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 9240
  • Ilmumisaeg: 12-Aug-2015
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662481448
  • ISBN-13: 9783662481448
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  • Formaat: Paperback / softback, 201 pages, kõrgus x laius: 235x155 mm, kaal: 3285 g, 50 Illustrations, black and white; IX, 201 p. 50 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 9240
  • Ilmumisaeg: 12-Aug-2015
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662481448
  • ISBN-13: 9783662481448
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eighteenth issue contains 9 carefully selected and revised contributions.
Using Semantic Web for Generating Questions: Do Different Populations
Perceive Questions Differently?.- Reflection of intelligent
e-learning/tutoring - the flexible learning model in LMS Blackboard.- GLIO: A
New Method for Grouping Like-Minded Users.- A Preferences based Approach for
Better Comprehension of User Information Needs.- Performance Evaluation of
the Customer Relationship Management Agents in a Cognitive Integrated
Management Support System.- Agreements Technologies - Towards Sophisticated
Software Agents in Multi-Agent Environments.- Identification of
Underestimated and Overestimated Web Pages Using PageRank and Web Usage
Mining Methods.- Massive Classification with Support Vector Machines.- On a
Multi-Agent Distributed Asynchronous Intelligence-Sharing and Learning
Framework.