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Agents and Data Mining Interaction

Overview of attention for book
Cover of 'Agents and Data Mining Interaction'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 9: Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform
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Citations

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Chapter title
Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform
Chapter number 9
Book title
Agents and Data Mining Interaction
Published in
ADS, January 2009
DOI 10.1007/978-3-642-03603-3_9
Book ISBNs
978-3-64-203602-6, 978-3-64-203603-3
Authors

Anthony C. Chrysopoulos, Andreas L. Symeonidis, Pericles A. Mitkas

Editors

Longbing Cao, Vladimir Gorodetsky, Jiming Liu, Gerhard Weiss, Philip S. Yu

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 33%
Student > Master 2 33%
Researcher 1 17%
Student > Ph. D. Student 1 17%
Readers by discipline Count As %
Engineering 3 50%
Social Sciences 1 17%
Computer Science 1 17%
Unknown 1 17%

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