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Herausgeber: 
  • Jiming Liu
  • Victor A. Skormin
  • Vladimir Gorodetsky
  • Autonomous Intelligent Systems: Agents and Data Mining - International Workshop, AIS-ADM 2005 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2005  
    Genre:  EDV / Informatik 
     
    angewandte informatik / Application software / Artificial Intelligence / C / Computer and Information Systems Applications / Computer Communication Networks / Computer communication systems / computer science
    ISBN:  9783540261643 
    EAN-Code: 
    9783540261643 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Artificial Intelligence
    #3505 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1010 gr 
    Seiten:  303 
    Illustration:  XIII, 303 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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