AAMAS-ADMI 2012 - The Eighth International Workshop on Agents and Data Mining Interaction

THE EIGHTH INTERNATIONAL WORKSHOP ON AGENTS AND DATA MINING INTERACTION (ADMI-12)
Call For Papers
Paper deadline: Feb. 15, 2012
The proceedings will be published by Springer LNAI **
Format can be Springer LNAI with up to 12 pages**
Papers should be submitted through the ADMI'12 submission system linked to the ADMI'12 website**
** Selected papers will be invited to be extended and submitted to the Special Issue on Agent Mining with IEEE Transactions on Systems, Man, and Cybernetics Part B (Being organized) **
Call For Papers
The Eighth International Workshop on Agents and Data Mining Interaction (ADMI-12)
Valencia, Spain, June 4-8, 2012
http://admi12.agentmining.org/
Held in conjunction with
Eleventh International Joint Conference on AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS-2012)
http://aamas2012.webs.upv.es/
Important dates:
Electronic submission of full papers: February 15, 2012
Notification of paper acceptance: April. 15, 2012
Camera-ready copies of accepted papers: April 21, 2012
AAMAS-2012 workshop: June 4-5, 2012
Scope:
The ADMI workshop provides a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining. The workshop welcomes theoretical work and applied dissemination aiming to: (1) exploit agent-enriched data mining and demonstrate how intelligent agent technology can contribute to critical data mining problems in theory and practice; (2) improve data mining-driven agents and show how data mining can strengthen agent intelligence in research and practical applications; (3) explore the integration of agents and data mining towards a super-intelligent system; (4) discuss existing results, new problems, challenges and impact of integration of agent and data mining technologies as applied to highly distributed heterogeneous, including mobile, systems operating in ubiquitous and P2P environments; and (5) identify challenges and directions for future research and development on the synergy between agents and data mining.
1. Principles and foundations for agent mining
Theoretical foundations for interaction between agents and data mining
Formal frameworks and infrastructure
Interaction design for agent mining
Challenges and prospects
2. Performance evaluation and validation for agent mining
Evaluation methodologies and strategies
Evaluation metric, benchmarks and testbeds
Toolbox development
3. Agent driven and enhanced data mining technologies
Adaptive mining techniques in general data mining concepts including clustering, classification, ect.
Active learning for intelligent data analysis
Agent based web mining, text mining and information retrieval
Agent or actor oriented analysis in social networks
Agent-mediated parallel/distributed data mining
Mining multiagent data/behavior
4. Data mining driven and enhanced agent technologies
Behavior mining for agent decision making, reasoning, learning and planning
Social computing for agent interactions
Opponent learning and mining in agent interactions
Data intensive mechanism design and optimization including auction, negotiation, etc.
Experience/data based agent trust/reputation analysis
Strategy design in computer games
5. Agent and data mining mutual enhancement systems/development
Ubiquitous intelligence, ambient intelligence and smart space
Recommender systems and user modeling
Computer game intelligence
Intelligent cognitive systems and preference learning
Cloud, grid, and peer-to-peer computing
Web intelligence and web wisdom
Domain knowledge mining and intelligence
Human-computer interaction intelligence
6. Emergent agent and data mining applications
E-market and e-commence
E-health and tele-health
Smart grid and homeland security
E-education and intelligent tutor systems
Mobile computing and mobile business services
Video games, computer games, and online games
Web and online services
7. Applications, success stories, case studies and lessons learned
Advanced engineering and industrial applications
Swarm-based self-organizing agent systems in multi-modal logistics
Emerging agent mining applications and lessons learned
Challenges and prospects in agent mining Invited speakers:
Victor Lessor, University of Massachusetts Amherst
Wolfgang Ketter, RSM Erasmus University
Submission Instructions:
Please follow the AAMAS 2012 paper formats.
Papers are to be submitted through the EasyChair Conference System website
Post-workshop publication:
The ADMI-12 Proceedings will be published by Springer-Verlag as a volume of LNCS/LNAI series.
A Special Issue on Agent Mining with IEEE Transactions on Systems, Man, and Cybernetics Part B.
Workshop Program Co-Chairs:
Longbing Cao, University of Technology Sydney, Australia
Yifeng Zeng, Aalborg University, Denmark
Andreas L. Symeonidis, Aristotle University of Thessaloniki, Greece
Vladimir Gorodetsky, Russian Academy of Sciences, Russia
Workshop General Co-Chairs:
Philip S Yu, University of Illinois at Chicago, USA
Munindar P Singh, North Carolina State University, USA
Supported by:
Agent-Mining Interaction and Integration
Special Interest Group (AMII-SIG)
http://www.agentmining.org
Contact:
Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky
Email: admi12-AT-agentmining.org