ADMI 2014 - International Workshop on Agent & Data Mining Interaction

1th International Workshop on Agents and Data Mining Interaction (ADMI-14)
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:
exploit agent-enriched data mining and demonstrate how intelligent agent technology can contribute to critical data mining problems in theory and practice;
improve data mining-driven agents and show how data mining can strengthen agent intelligence in research and practical applications;
explore the integration of agents and data mining towards a super-intelligent system;
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;
identify challenges and directions for future research and development on the synergy between agents and data mining.
Topics of Interest
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
- Strategy design in computer games
- 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
- 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
- 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:
- Jeffrey S. Rosenschein, The Hebrew University of Jerusalem, Israel
- Bo An, Chinese Academy of Sciences, China
Submission Instructions:
Please follow the Springer LNCS edited book formats, with not more than 12 pages.
Papers are to be submitted through the EasyChair Conference System website
Please click here to submit your paper
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