Call For Papers

Paper deadline: 11 February, 2013
** 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'13 submission system linked to 
the ADMI'13 website**


Call For Papers

The Ninth International Workshop on Agents and Data Mining Interaction (ADMI-13)
Saint Paul, USA, 6-10 May, 2013
http://admi13.agentmining.org/

Held in conjunction with
Twelfth International Joint Conference on AUTONOMOUS AGENTS AND MULTIAGENT 
SYSTEMS (AAMAS-2013)
http://aamas2013.cs.umn.edu/

Important dates:
- Electronic submission of full papers:   11 February, 2013
- Notification of paper acceptance:       11 March, 2013
- Camera-ready copies of accepted papers: 30 March, 2013
- AAMAS-2013 workshop:                     6-7 May, 2013

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.
The workshop encourages submissions on, but not limited to:
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 ● Agent driven and enhanced data mining 
technologies ● Adaptive mining techniques in general data mining concepts 
including clustering, classification, etc. ● Active learning for intelligent 
data analysis ● Agent based web mining, text mining and information retrieval ● 
Agent or actor oriented analysis in social networks ● Agent interaction 
protocols for distributed data mining and machine learning ● Mining multiagent 
data/behavior
3. 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 ● Agent and data mining mutual enhancement systems/development ● 
Ubiquitous intelligence, ambient intelligence and smart space ● Computer game 
intelligence ● Intelligent cognitive systems and preference learning ● 
Learning-based self-configuration of agent P2P overlay networks● Web 
intelligence and web wisdom ● Domain knowledge mining and intelligence ● 
Human-computer interaction intelligence
4. 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
5. Applications, success stories, case studies and lessons learned
● Advanced engineering and industrial applications ● Self-organized agent-based 
logistics ad-hoc networks● Emerging agent mining applications and lessons 
learned ● Challenges and prospects in agent mining

Invited speakers:
- Jeffrey S. Rosenschein, The Hebrew University of Jerusalem, Israel
- Bo An, Chinese Academy of Sciences, China

Submission Instructions:
Please follow the AAMAS 2013 paper formats.
Papers are to be submitted through the EasyChair Conference System website
https://www.easychair.org/conferences/?conf=admi2013

Post-workshop publication:
- The ADMI-13 Proceedings will be published by Springer-Verlag as a volume of 
LNCS/LNAI series.

Workshop Program Co-Chairs:
- Longbing Cao, University of Technology Sydney, Australia
- Yifeng Zeng, School of Computing, Teesside University, United Kingdom
- Andreas L. Symeonidis, Aristotle University of Thessaloniki, Greece
- Vladimir Gorodetsky, Russian Academy of Sciences, Russia

Workshop General Co-Chairs:
- Jorg P. Müller, Clausthal University of Technology, Germany
- Philip S Yu, University of Illinois at Chicago, 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: [email protected]

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