4. ADMI 2009: Budapest, Hungary

Invited Talks and Papers

• Ana L. C. Bazzan:
  Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering. 3-20
  
• Daniel Kudenko, Marek Grzes:
  Knowledge-Based Reinforcement Learning for Data Mining. 21-22
  
• Longbing Cao, Dan Luo, Chengqi Zhang:
  Ubiquitous Intelligence in Agent Mining. 23-35
  
• Serge Parshutin, Arkady Borisov:
  Agents Based Data Mining and Decision Support System. 36-49
  

Agent-Driven Data Mining

• Kamal Ali Albashiri, Frans Coenen:
  Agent-Enriched Data Mining Using an Extendable Framework. 53-68
  
• Jakob R. Olesen, Jorge Cordero Hernandez, Yifeng Zeng:
  Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging. 69-83
  
• Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
  A Self-Organized Multiagent System for Intrusion Detection. 84-94
  
• Viliam Lisý, Michal Jakob, Petr Benda, Stepán Urban, Michal Pechoucek:
  Towards Cooperative Predictive Data Mining in Competitive Environments. 95-108
  

Data Mining Driven Agents

• Anthony C. Chrysopoulos, Andreas L. Symeonidis, Pericles A. Mitkas:
  Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform. 111-125
  
• Christina Athanasopoulou, Vasilis Chatziathanasiou:
  Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study. 126-138
  
• Vivia Nikolaidou, Pericles A. Mitkas:
  A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents. 139-151
  

Agent Mining Applications

• Stefan Jablonski, Ramzan Talib:
  Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation. 155-169
  
• Murat Sensoy, Pinar Yolum:
  Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach. 170-182
  
• Valentin Robu, Han La Poutré, Sander M. Bohte:
  The Complex Dynamics of Sponsored Search Markets. 183-198