Agents and Data Mining Interaction 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Cao, Longbing (Editor ), Bazzan, Ana L.C (Editor ), Gorodetsky, Vladimir (Editor ), Mitkas, Pericles A. (Editor ), Weiss, Gerhard (Editor ), Yu, Philip S. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Lecture Notes in Artificial Intelligence, 5980
Temas:
Artificial intelligence.
Data mining.
Application software.
Information storage and retrieval systems.
Database management.
Computer networks .
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Database Management.
Computer Communication Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Agents for Data Mining
  • Finding Useful Items and Links in Social and Agent Networks
  • Integrating Workflow into Agent-Based Distributed Data Mining Systems
  • Pilot Study: Agent-Based Exploration of Complex Data in a Hospital Environment
  • Multi-agent Information Retrieval in Heterogeneous Industrial Automation Environments
  • Data Mining for Agents
  • A Data Mining Approach to Identify Obligation Norms in Agent Societies
  • Probabilistic Modeling of Mobile Agents' Trajectories
  • Real-Time Sensory Pattern Mining for Autonomous Agents
  • Data Mining in Agents
  • Analyzing Agent-Based Simulations of Inter-organizational Networks
  • Clustering in a Multi-Agent Data Mining Environment
  • Time-Based Reward Shaping in Real-Time Strategy Games
  • Wise Search Engine Based on LSI
  • Pattern Recognition in Online Environment by Data Mining Approach
  • Agent Mining Applications
  • A Multiple System Performance Monitoring Model for Web Services
  • Implementing an Open Reference Architecture Based on Web Service Mining for the Integration of Distributed Applications and Multi-Agent Systems
  • Minority Game Data Mining for Stock Market Predictions.

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