Data Mining and Multi-agent Integration

Data Mining and Multi-agent Integration presents cutting-edge research, applications and solutions in data mining, and the practical use of innovative information technologies written by leading international researchers in the field. Topics examined include: Integration of multiagent applications a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Cao, Longbing (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Temas:
Data mining.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • to Agents and Data Mining Interaction
  • to Agent Mining Interaction and Integration
  • Towards the Integration of Multiagent Applications and Data Mining
  • Agent-Based Distributed Data Mining: A Survey
  • Data Mining Driven Agents
  • Exploiting Swarm Behaviour of Simple Agents for Clustering Web Users' Session Data
  • Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies
  • A Multi-Agent System for Extracting and Analysing Users' Interaction in a Collaborative Knowledge Management System
  • Towards Information Enrichment through Recommendation Sharing
  • A Multiagent-based Intrusion Detection System with the Support of Multi-Class Supervised Classification
  • Automatic Web Data Extraction Based on Genetic Algorithms and Regular Expressions
  • Establishment and Maintenance of a Knowledge Network by Means of Agents and Implicit Data
  • Equipping Intelligent Agents with Commonsense Knowledge acquired from Search Query Logs: Results from an Exploratory Story
  • A Multi-Agent Learning Paradigm for Medical Data Mining Diagnostic Workbench
  • Agent Driven Data Mining
  • The EMADS Extendible Multi-Agent Data Mining Framework
  • A Multiagent Approach to Adaptive Continuous Analysis of Streaming Data in Complex Uncertain Environments
  • Multiagent Systems for Large Data Clustering
  • A Multiagent, Multiobjective Clustering Algorithm
  • Integration of Agents and Data Mining in Interactive Web Environment for Psychometric Diagnostics
  • A Multi-Agent Framework for Anomalies Detection on Distributed Firewalls Using Data Mining Techniques
  • Competitive-Cooperative Automated Reasoning from Distributed and Multiple Source of Data
  • Normative Multi-Agent Enriched Data Mining to Support E-Citizens
  • CV-Muzar - The Virtual Community Environment that Uses Multiagent Systems for Formation of Groups
  • Agent based Video Contents Identification and Data Mining Using Watermark based Filtering
  • Erratum.

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