A. Agent-based technologies for data mining and knowledge discovery
Intelligent Data Mining and Knowledge Discovery (DM&KDD) agents
Architectures of DM&KDD agents
Agent-based cooperative distributed DM&KDD
Protocols for distributed data mining and KDD
Data preprocessing and post-processing in agent-based DM&KDD
Ontology and Distributed knowledge bases of DM&KDD MAS
Agent-based technologies for DM&KDD
Agent-based software tools for DM and KDD
Applications and case studies (intrusion detection, situational awareness, learning of situation assessment, emergency monitoring and recovery, agent-based data and information fusion, etc.)
Collaborative filtering and recommendation
Community of practice discovery
Context sensitive web mining
Distributed resources discovery
Global information foraging
Goal-directed services planning
Information and knowledge markets
Learning user profiles
Macroscopic behavior modeling
Meta-knowledge discovery and representation
Ontology-based web mining
Recommender support systems
Social networks mining
Web content mining
Web regularities and laws characterization
Web topology and site hierarchy
Adaptation and Learning in Multi-Agent Systems
Evolution and Individual Learning in Multi-Agent Systems
Distributed Learning of MAS agents
Learning of Co-ordination
Learning for Real-Time Applications (On-line learning in agent-based real time systems)
Evolutionary Agents and Emergent Multi-Agent Organization and Behavior
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