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Autonomous Intelligent Systems: Agents and Data Mining [electronic resource] : International Workshop, AIS-ADM 2005, St. Petersburg, Russia, June 6-8, 2005. Proceedings / edited by Vladimir Gorodetsky, Jiming Liu, Victor A. Skormin.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 3505Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Description: XIII, 303 p. Also available online. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540319320
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TJ210.2-211.495
Online resources:
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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