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Foundations of Computational Intelligence Volume 4

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Table of Contents

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    Book Overview
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    Chapter 1 Adaptive and Self-adaptive Techniques for Evolutionary Forecasting Applications Set in Dynamic and Uncertain Environments
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    Chapter 2 Sequence Pattern Mining
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    Chapter 3 Growing Self-Organizing Map for Online Continuous Clustering
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    Chapter 4 Synthesis of Spatio-temporal Models by the Evolution of Non-uniform Cellular Automata
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    Chapter 5 Genetic Selection Algorithm and Cloning for Data Mining with GMDH Method
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    Chapter 6 Inducing Relational Fuzzy Classification Rules by Means of Cooperative Coevolution
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    Chapter 7 Post-processing Evolved Decision Trees
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    Chapter 8 Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues
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    Chapter 9 Stability-Based Model Order Selection for Clustering Using Multiple Cooperative Particle Swarms
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    Chapter 10 Foundations of Computational Intelligence Volume 4
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    Chapter 11 A Clustering Genetic Algorithm for Genomic Data Mining
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    Chapter 12 Detection of Remote Protein Homologs Using Social Programming
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    Chapter 13 Optimizing Information Retrieval Using Evolutionary Algorithms and Fuzzy Inference System
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    Chapter 14 Web Data Clustering
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    Chapter 15 Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching
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    Chapter 16 Mining Network Traffic Data for Attacks through MOVICAB-IDS
Attention for Chapter 13: Optimizing Information Retrieval Using Evolutionary Algorithms and Fuzzy Inference System
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Chapter title
Optimizing Information Retrieval Using Evolutionary Algorithms and Fuzzy Inference System
Chapter number 13
Book title
Foundations of Computational Intelligence Volume 4
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-642-01088-0_13
Book ISBNs
978-3-64-201087-3, 978-3-64-201088-0
Authors

Václav Snášel, Ajith Abraham, Suhail Owais, Jan Platoš, Pavel Krömer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Trinidad and Tobago 1 5%
Italy 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Student > Master 4 20%
Professor 3 15%
Other 2 10%
Student > Bachelor 1 5%
Other 4 20%
Unknown 2 10%
Readers by discipline Count As %
Computer Science 14 70%
Engineering 2 10%
Medicine and Dentistry 1 5%
Business, Management and Accounting 1 5%
Unknown 2 10%