Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007. Proceedings

Kanishka Bhaduri, Kamalika Das, Hillol Kargupta (auth.), Vladimir Gorodetsky, Chengqi Zhang, Victor A. Skormin, Longbing Cao (eds.)3540728384, 9783540728382, 9783540728399

Since early 1990, multi-agent systems (MAS), data mining, and knowledge d- covery (KDD) have remained areas of high interest in the research and – velopment of intelligent information technologies. Indeed, MAS o?ers powerful metaphors for information system conceptualization, a range of new techniques, and technologies speci?cally focused on the design and implementation of lar- scale open distributed intelligent systems. KDD also provides intelligent inf- mation technology with powerful ideas, algorithms, and software means to help cope with the main problem of arti?cial intelligence, formulated in the we- known question “Where does the knowledge come from?”, thus actually making modern applications intelligent and adaptive. The evident recent trend in both science and industry is to integrate and take advantage of both technologies. The existing experience with combined application of multi-agent technology to design architectures of distributed (- erarchical and peer-to-peer) data mining and KDD systems, as well as the u- lization of data mining and KDD achievements to provide enhanced intelligence of MAS, con?rms the fact that both technologies are capable of mutual enri- ment and their integrateduse may result in intelligent information systems with new emergent properties. The 1st International Workshop “Autonomous Int- ligent Systems: Agents and Data Mining” (AIS-ADM 2005, June 6–8, 2005, St. Petersburg, Russia) was a response to the aforementioned trend. It con?rmed the interest of academic and industry communities in advancing the e?orts to integrate achievements in MAS and KDD, thus resulting in a new dimension and further progress in intelligent information technology.

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Table of contents :
Front Matter….Pages –
Peer-to-Peer Data Mining, Privacy Issues, and Games….Pages 1-10
Ontos Solutions for Semantic Web: Text Mining, Navigation and Analytics….Pages 11-27
Robust Agent Communities….Pages 28-45
WI Based Multi-aspect Data Analysis in a Brain Informatics Portal….Pages 46-59
Agent-Mining Interaction: An Emerging Area….Pages 60-73
Evaluating Knowledge Intensive Multi-agent Systems….Pages 74-87
Towards an Ant System for Autonomous Agents….Pages 88-93
Semantic Modelling in Agent-Based Software Development….Pages 94-99
Combination Methodologies of Multi-agent Hyper Surface Classifiers: Design and Implementation Issues….Pages 100-113
Security in a Mobile Agent Based DDM Infrastructure….Pages 114-123
Automatic Extraction of Business Rules to Improve Quality in Planning and Consolidation in Transport Logistics Based on Multi-agent Clustering….Pages 124-137
Intelligent Agents for Real Time Data Mining in Telecommunications Networks….Pages 138-152
Architecture of Typical Sensor Agent for Learning and Classification Network….Pages 153-164
Self-organizing Multi-agent Systems for Data Mining….Pages 165-177
Role-Based Decision Mining for Multiagent Emergency Response Management….Pages 178-191
Virtual Markets: Q -Learning Sellers with Simple State Representation….Pages 192-205
Fusion of Dependence Networks in Multi-agent Systems – Application to Support Net-Enabled Littoral Surveillance….Pages 206-211
Multi-agent Framework for Simulation of Adaptive Cooperative Defense Against Internet Attacks….Pages 212-228
On Competing Agents Consistent with Expert Knowledge….Pages 229-241
On-Line Agent Teamwork Training Using Immunological Network Model….Pages 242-255
Combination of Rough Sets and Genetic Algorithms for Text Classification….Pages 256-268
Multi-agent Meta-search Engine Based on Domain Ontology….Pages 269-274
Efficient Search Technique for Agent-Based P2P Information Retrieval….Pages 275-286
Classification of Web Documents Using Concept Extraction from Ontologies….Pages 287-292
Emotional Cognitive Agents with Adaptive Ontologies….Pages 293-304
Viral Knowledge Acquisition Through Social Networks….Pages 305-308
Chinese Weblog Pages Classification Based on Folksonomy and Support Vector Machines….Pages 309-321
Back Matter….Pages –