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 / edited by Longbing Cao, Ana L. C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yu.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9783642154201
- Computer science
- Computer Communication Networks
- Database management
- Data mining
- Information storage and retrieval systems
- Information systems
- Artificial intelligence
- Computer Science
- Artificial Intelligence (incl. Robotics)
- Information Systems Applications (incl.Internet)
- Information Storage and Retrieval
- Database Management
- Computer Communication Networks
- Data Mining and Knowledge Discovery
- 006.3 23
- Q334-342
- TJ210.2-211.495
Item type | Current library | Call number | Status | Date due | Barcode | |
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Central Library | Available | E-47159 |
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.
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