Autonomous Intelligent Systems: Agents and Data Mining de Vladimir Gorodetsky

Autonomous Intelligent Systems: Agents and Data Mining: International Workshop, AIS-ADM 2005: Lecture Notes in Computer Science, cartea 3505

Vladimir Gorodetsky

Jiming Liu

Victor A. Skormin

en Limba Engleză Paperback – 30 mai 2005

Constitutes the proceedings of the International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2005, held in St Petersburg, Russia in June 2005. This book contains papers that are organized in topical sections on agent-based data mining issues, ontologies and Web mining, and applications and case studies.

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Specificații

ISBN-13: 9783540261643
ISBN-10: 3540261648
Pagini: 324
Ilustrații: XIII, 303 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

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.