Autonomous Intelligent Systems: Agents and Data Mining: International Workshop, AIS-ADM 2005 (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

Gorodetsky, Vladimir [Editor]; Liu, Jiming [Editor]; Skormin, Victor [Editor];

ISBN 10: 3540261648 / ISBN 13: 9783540261643

Editore: Springer, 2005

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Ex-library paperback in very nice condition with the usual markings and attachments.

Codice articolo UTD1420114

Dati bibliografici

• Titolo: Autonomous Intelligent Systems: Agents and Data Mining: International Workshop, AIS-ADM 2005 (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
• Editore: Springer
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 3540261648
• ISBN 13: 9783540261643
• Rilegatura: Paperback
• Condizione: Very Good

Descrizione articolo

Riassunto

This volume contains the papers presented at the International Workshop Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM 2005) held in St. Petersburg, Russia, during June 6 8, 2005. The workshop was - ganized by the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS) in cooperation with Binghamton U- versity (SUNY, USA) and the Web Intelligence Consortium. Autonomous Intelligent Systems (AIS) constitute an emerging class of int- ligent information systems integrating recent advances in various technologies of Arti?cial Intelligence. Modern AIS incorporate multi-agent and data mining systemsprovidinganewdimensionforfurtherprogressinintelligentinformation technology. AIS-ADM 2005 provided an international forum to multi-agent and data mining researchers. A total of 29 papers from 15 countries relating to various aspects of both theory and applications of multi-agent systems, data mining and their joint area were submitted to AIS-ADM 2005. Out of them 17 were selected as regular presentations. Three technical sessions were organized, namely: In- gration of Multi-agent and Data Mining Techniques; Ontology Issues and Web Mining; and Applications and Case Studies of the Integrated Technology. The panel discussion was devoted to the mutual enrichment and challenging pr- lems emerging in the joint area of research. The AIS-ADM 2005 program was enriched by six distinguished invited speakers: Nick Jennings, Chengqi Zhang, Mircea Negoita, Pericles Mitkas, Hai Zhuge and Leonid Perlovsky.

Contenuti

Invited Papers.- Negotiation Technologies.- Knowledge Discovery for Training Intelligent Agents: Methodology, Tools and Applications.- Artificial Immune Systems—An Emergent Technology for Autonomous Intelligent Systems and Data Mining.- Evolving Agents: Communication and Cognition.- Agents and Data Mining: Mutual Enhancement by Integration.- Soft-Device Inheritance in the Knowledge Grid.- Agent Based Data Mining Issues.- Towards the Adaptive Organization: Formation and Conservative Reconfiguration of Agents Coalitions.- A Cooperative Multi-agent Data Mining Model and Its Application to Medical Data on Diabetes.- Technology of Agent-Based Decision Making System Development.- An Architecture for Distributed Agent-Based Data Preprocessing.- Meta-reasoning Methods for Agent’s Intention Modelling.- Execution Engine of Meta-learning System for KDD in Multi-agent Environment.- A Methodology for Predicting Agent Behavior by the Use of Data Mining Techniques.- Ontology and Web Mining.- Topic-Specific Text Filtering Based on Multiple Reducts.- Parallel Algorithm for Mining Frequent Closed Sequences.- Decision Trees Capacity and Probability of Misclassification.- Querying Dynamic and Context-Sensitive Metadata in Semantic Web.- Ontology Issue in Multi-agent Distributed Learning.- Ontology-Based Users and Requests Clustering in Customer Service Management System.- Multi-agent Approach for Community Clustering Based on Individual Ontology Annotations.- Applications and Case Studies.- Effective Discovery of Intrusion Protection Strategies.- Integrating Knowledge Through Cooperative Negotiation – A Case Study in Bioinformatics.- Data Mining Techniques for RoboCup Soccer Agents.