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 and data mining
- Mining temporal patterns to improve agents behavior
- Information enrichment through recommendation sharing
- Automatic web data extraction based on genetic algorithms and regular expressions
- A multiagent learning paradigm for medical data mining diagnostic workbench
- A multiagent data mining framework
- Streaming data in complex uncertain environments
- Large data clustering
- A multiagent, multi-objective clustering algorithm
- Interactive web environment for psychometric diagnostics
- Anomalies detection on distributed firewalls using data mining techniques
- Automated reasoning for distributed and multiple source of data
- Video contents identification
Data Mining and Multi-agent Integration is intended for students, researchers, engineers and practitioners in the field, interested in the synergy between agents and data mining. This book is also relevant for readers in related areas such as machine learning, artificial intelligence, intelligent systems, knowledge engineering, human-computer interaction, intelligent information processing, decision support systems, knowledge management, organizational computing, social computing, complex systems, and soft computing.
Author(s): Longbing Cao (auth.), Longbing Cao (eds.)
Edition: 1
Publisher: Springer US
Year: 2009
Language: English
Pages: 334
Tags: Data Mining and Knowledge Discovery; Artificial Intelligence (incl. Robotics); Computing Methodologies
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Introduction to Agent Mining Interaction and Integration....Pages 3-36
Towards the Integration of Multiagent Applications and Data Mining....Pages 37-46
Agent-Based Distributed Data Mining: A Survey....Pages 47-58
Front Matter....Pages 60-60
Exploiting Swarm Behaviour of Simple Agents for Clustering Web Users’ Session Data....Pages 61-75
Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies....Pages 77-92
A Multi-Agent System for Extracting and Analysing Users’ Interaction in a Collaborative Knowledge Management System....Pages 93-102
Towards Information Enrichment through Recommendation Sharing....Pages 103-126
A Multiagent-based Intrusion Detection System with the Support of Multi-Class Supervised Classification....Pages 127-142
Automatic Web Data Extraction Based on Genetic Algorithms and Regular Expressions....Pages 143-154
Establishment and Maintenance of a Knowledge Network by Means of Agents and Implicit Data....Pages 155-166
Equipping Intelligent Agents with Commonsense Knowledge acquired from Search Query Logs: Results from an Exploratory Story....Pages 167-176
A Multi-Agent Learning Paradigm for Medical Data Mining Diagnostic Workbench....Pages 177-186
Front Matter....Pages 188-188
The EMADS Extendible Multi-Agent Data Mining Framework....Pages 189-200
A Multiagent Approach to Adaptive Continuous Analysis of Streaming Data in Complex Uncertain Environments....Pages 201-218
Multiagent Systems for Large Data Clustering....Pages 219-238
A Multiagent, Multiobjective Clustering Algorithm....Pages 239-249
Integration of Agents and Data Mining in Interactive Web Environment for Psychometric Diagnostics....Pages 251-265
A Multi-Agent Framework for Anomalies Detection on Distributed Firewalls Using Data Mining Techniques....Pages 267-278
Competitive-Cooperative Automated Reasoning from Distributed and Multiple Source of Data....Pages 279-290
Normative Multi-Agent Enriched Data Mining to Support E-Citizens....Pages 291-304
Front Matter....Pages 188-188
CV-Muzar - The Virtual Community Environment that Uses Multiagent Systems for Formation of Groups....Pages 305-314
Agent based Video Contents Identification and Data Mining Using Watermark based Filtering....Pages 315-324
Erratum....Pages 329-329
Back Matter....Pages 155-161
