Agents and Data Mining Interaction [electronic resource] :6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers /
Contributor(s): Cao, Longbing [editor.] | Bazzan, Ana L. C [editor.] | Gorodetsky, Vladimir [editor.] | Mitkas, Pericles A [editor.] | Weiss, Gerhard [editor.] | Yu, Philip S [editor.] | SpringerLink (Online service).Material type: BookSeries: Lecture Notes in Computer Science: 5980Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.Description: X, 192 p. 63 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642154201.Subject(s): Computer science | Computer communication systems | Database management | Data mining | Information storage and retrieval | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Information Systems Applications (incl. Internet) | Information Storage and Retrieval | Database Management | Computer Communication NetworksOnline resources: Click here to access online
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.