Data Mining and Multi-agent Integration

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cao, Longbing (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US : Imprint: Springer, 2009.
• Θέματα: Computer science.; Data mining.; Computers.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Computing Methodologies.

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...

Πίνακας περιεχομένων:

• 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.