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 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Cao, Longbing (Editor), Bazzan, Ana L. C. (Editor), Gorodetsky, Vladimir (Editor), Mitkas, Pericles A. (Editor), Weiss, Gerhard (Editor), Yu, Philip S. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Lecture Notes in Computer Science, 5980
• Subjects: 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 Networks.

Table of Contents:

• 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.