Agents and Data Mining Interaction 4th International Workshop on Agents and Data Mining Interaction, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers /

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Agents and Data Mining Interaction, ADMI 2009, held in Budapest, Hungary in May 10-15, 2009 as an associated event of AAMAS 2009, the 8th International Joint Conference on Autonomous Agents...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Cao, Longbing (Editor ), Gorodetsky, A.E (Editor ), Liu, Jiming (Editor ), Weiß, Gerhard (Editor ), Yu, Philip S. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Lecture Notes in Artificial Intelligence, 5680
Temas:
Data mining.
Artificial intelligence.
Computer networks .
Software engineering.
Computer science.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer Communication Networks.
Software Engineering.
Computer Science Logic and Foundations of Programming.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Invited Talks and Papers
  • Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering
  • Knowledge-Based Reinforcement Learning for Data Mining
  • Ubiquitous Intelligence in Agent Mining
  • Agents Based Data Mining and Decision Support System
  • Agent-Driven Data Mining
  • Agent-Enriched Data Mining Using an Extendable Framework
  • Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging
  • A Self-Organized Multiagent System for Intrusion Detection
  • Towards Cooperative Predictive Data Mining in Competitive Environments
  • Data Mining Driven Agents
  • Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform
  • Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study
  • A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents
  • Agent Mining Applications
  • Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation
  • Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
  • The Complex Dynamics of Sponsored Search Markets.

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