IEEE/WIC/ACM Int’l Workshop on Agents and Data Mining Interaction (with WI-IAT), Sydney, Australien

Abbrevation

ADMI

Link

http://www.agentmining.org/admi08

City

Sydney

Country

Australia

Deadline Paper

2008-08-07

Start Date

2008-12-09

End Date

2008-12-12

Abstract

Following the success of ADMI–06 and ADMI–07, the ADMI–08 workshop provides a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the coupling between agents and data mining. Keywords: Interaction Challenges and Prospects – Challenges and prospects of agent and data mining interaction – Theoretical foundation for the interaction between agents and data mining – Building super–intelligent organism Agent–Enriched Knowledge Discovery and Data Mining – Agent–enriched data mining infrastructure – Agent–enriched interactive data mining infrastructure – Agent–enriched visual data mining – Agent–enriched data mining process modeling and management – Agent–enriched interactive data mining learning Automated Data Mining Learning – Agent–enriched multiple data source mining – Agent–enriched distributed data mining – Agent networks in distributed knowledge discovery and servicing – Agent–enriched grid computing – Agent–enriched web mining – Agent–enriched mediation and management of enterprise data mining – Agent–supported domain knowledge involvement – Agent–enriched human mining cooperation – Agent–enriched ontology mining – Self–organizing data mining and learning – Agent–enriched parallel data mining Data Mining Driven Agents and Multiagent Systems – Data mining–driven agent learning, adaptation and evolution – Data mining–driven multi–agent communication, planning and dispatching – Data mining–driven user modeling and servicing – Distributed learning of MAS agents – Distributed learning of agent coordination – Self–organized and self–learning agents Emergent Agent–Mining Organization and Applications – Emerging Intelligent Applications – Typical engineering and industry applications – Data mining–driven agent recommender – Mobile agent–driven web recommendation – Data mining–driven web assistant – Learning for real–time applications Data Mining–Driven Agent Performance Evaluation – Data mining–driven agent performance evaluation strategies – Performance metrics, benchmarks and testbeds for data–mining driven agent intelligence and behavior – Data mining–driven agent evaluation frameworks and tools