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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 1: Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering
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Citations

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Chapter title
Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering
Chapter number 1
Book title
Agents and Data Mining Interaction
Published in
ADS, January 2009
DOI 10.1007/978-3-642-03603-3_1
Book ISBNs
978-3-64-203602-6, 978-3-64-203603-3
Authors

Ana L. C. Bazzan

Editors

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

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Student > Ph. D. Student 2 29%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 4 57%
Agricultural and Biological Sciences 1 14%
Unknown 2 29%

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