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Agents and Data Mining Interaction: 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers 2015 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 125 pages, kõrgus x laius: 235x155 mm, kaal: 2234 g, 54 Illustrations, black and white; XI, 125 p. 54 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 9145
  • Ilmumisaeg: 25-Jun-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319202294
  • ISBN-13: 9783319202297
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Agents and Data Mining Interaction: 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers 2015 ed.Suurem pilt
  • Formaat: Paperback / softback, 125 pages, kõrgus x laius: 235x155 mm, kaal: 2234 g, 54 Illustrations, black and white; XI, 125 p. 54 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 9145
  • Ilmumisaeg: 25-Jun-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319202294
  • ISBN-13: 9783319202297
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319202297.html
Märksõnad:
This book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems.





The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining.
Learning Agents Relations in Interactive Multiagent Dynamic Influence
Diagrams.- Agent-Based Customer Profile Learning in 3G Recommender Systems:
Ontology-Driven Multi-source Cross-Domain Case.- Modeling Temporal
Propagation Dynamics in Multiplex Networks.- Mining Movement Patterns from
Video Data to Inform Multi-agent Based Simulation.- Accessory-Based
Multi-agent Simulating Platform on the Web.- Performance Evaluation of Agents
and Multi-agent Systems Using Formal Specifications in Z Notation.-
Reputation in Communities of Agent-Based Web Services Through Data Mining.-
Data Mining Process Optimization in Computational Multi-agent Systems.-
Diversifying the Storytelling Using Bayesian Networks.- A Coupled Similarity
Kernel for Pairwise Support Vector Machine.