• Medientyp: E-Book; Konferenzbericht
  • Titel: 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
  • Beteiligte: Cao, Longbing [VerfasserIn]; Bazzan, Ana L. C. [Sonstige Person, Familie und Körperschaft]; Gorodeckij, Vladimir I. [Sonstige Person, Familie und Körperschaft]; Mitkas, Pericles A. [Sonstige Person, Familie und Körperschaft]; Weiss, Gerhard [Sonstige Person, Familie und Körperschaft]; Yu, Philip S. [Sonstige Person, Familie und Körperschaft]
  • Erschienen: Berlin, Heidelberg: Springer Berlin Heidelberg, 2010
  • Erschienen in: Lecture notes in computer science ; 5980
    Bücher
  • Umfang: Online-Ressource (X, 192p. 63 illus, digital)
  • Sprache: Englisch
  • DOI: 10.1007/978-3-642-15420-1
  • ISBN: 9783642154201
  • Identifikator:
  • RVK-Notation: SS 4800 : Lecture notes in computer science
  • Schlagwörter: Data Mining > Agent
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: 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.