Agents and Data Mining Interaction: 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers: Lecture Notes in Computer Science, cartea 5980
Editat de Longbing Cao, Ana L.C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yuen Limba Engleză Paperback – sep 2010
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Specificații
ISBN-13: 9783642154195
ISBN-10: 3642154190
Pagini: 192
Ilustrații: X, 192 p. 63 illus.
Greutate: 0.32 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642154190
Pagini: 192
Ilustrații: X, 192 p. 63 illus.
Greutate: 0.32 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Agents for Data Mining.- Finding Useful Items and Links in Social and Agent Networks.- Integrating Workflow into Agent-Based Distributed Data Mining Systems.- Pilot Study: Agent-Based Exploration of Complex Data in a Hospital Environment.- Multi-agent Information Retrieval in Heterogeneous Industrial Automation Environments.- Data Mining for Agents.- A Data Mining Approach to Identify Obligation Norms in Agent Societies.- Probabilistic Modeling of Mobile Agents’ Trajectories.- Real-Time Sensory Pattern Mining for Autonomous Agents.- Data Mining in Agents.- Analyzing Agent-Based Simulations of Inter-organizational Networks.- Clustering in a Multi-Agent Data Mining Environment.- Time-Based Reward Shaping in Real-Time Strategy Games.- Wise Search Engine Based on LSI.- Pattern Recognition in Online Environment by Data Mining Approach.- Agent Mining Applications.- A Multiple System Performance Monitoring Model for Web Services.- Implementing an Open Reference Architecture Based on Web Service Mining for the Integration of Distributed Applications and Multi-Agent Systems.- Minority Game Data Mining for Stock Market Predictions.