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Agents and Data Mining Interaction

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Cover of 'Agents and Data Mining Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering
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    Chapter 2 Knowledge-Based Reinforcement Learning for Data Mining
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    Chapter 3 Ubiquitous Intelligence in Agent Mining
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    Chapter 4 Agents Based Data Mining and Decision Support System
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    Chapter 5 Agent-Enriched Data Mining Using an Extendable Framework
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    Chapter 6 Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging
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    Chapter 7 A Self-Organized Multiagent System for Intrusion Detection
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    Chapter 8 Towards Cooperative Predictive Data Mining in Competitive Environments
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    Chapter 9 Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform
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    Chapter 10 Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study
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    Chapter 11 A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents
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    Chapter 12 Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation
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    Chapter 13 Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
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    Chapter 14 The Complex Dynamics of Sponsored Search Markets
Attention for Chapter 1: Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering
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