-------- Original-Nachricht -------- Betreff: [WI] ADMI-10: Call for Participation Datum: Fri, 26 Mar 2010 00:17:28 +1100 Von: Yuming OU yuming@it.uts.edu.au An: undisclosed-recipients: ;

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====================== CALL FOR PARTICIPATION ======================

The Sixth International Workshop on Agents and Data Mining Interaction (ADMI-10) May 10-14, 2010 Toronto, Canada http://admi10.agentmining.org/

Held in conjunction with The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS2010) http://www.cse.yorku.ca/AAMAS2010/

++++++++++++++ REGISTRATION:

On-line registration (and more information) at http://www.cse.yorku.ca/AAMAS2010/#content=registration

++++++++++++++ SCOPE:

The ADMI workshop series provides a premier forum for sharing research and engineering results, as well as potential challenges and prospects

encountered in the coupling crossing autonomous agents and multi-agent systems, data mining and knowledge discovery, data wareshousing, machine

learning, and artificial intelligence and intelligent systems. The workshop welcomes theoretical work and applied dissemination aiming to:

* exploit agent-enriched data mining and machine learning, and demonstrate how agent technology can contribute to critical data mining and

machine learning problems in theory and practice; * improve data mining-driven agents and systems, and show how data mining and machine learning can strengthen agent intelligence and intelligent

systems in research and practical applications; * explore the integration of agents and data mining towards a super-intelligent system and intelligent information processing; * identify challenges and directions for future research and development in agent mining, throughthe synergy and interaction amongst relevant

fields; and * report workable applications and case studies of agent mining.

+++++++++++++++ GENERAL TOPICS:

Contributions on the following and other related topics are solicited:

* Challenges and prospects in agent mining * Theoretical foundation for agent mining * Agent-driven data analysis, knowledge discovery and machine learning * Data mining-driven agents and multi-agent systems and intelligent systems * Performance evaluation and validation in agent mining * Emerging agent mining applications and lessons learned

+++++++++++++++ CONTACT INFORMATION:

Prof. Longbing Cao Tel. +61-2-9514-4477 Fax. +61-2-9514-1807 Email: admi10@agentmining.org

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