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Swarm Intelligence for Multi-objective Problems in Data Mining

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Cover of 'Swarm Intelligence for Multi-objective Problems in Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Swarm Intelligence for Multi-objective Problems
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    Chapter 2 Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers
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    Chapter 3 Multiobjective Particle Swarm Optimization in Classification-Rule Learning
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    Chapter 4 Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers
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    Chapter 5 Optimizing Decision Trees Using Multi-objective Particle Swarm Optimization
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    Chapter 6 A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective
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    Chapter 8 Mining Rules: A Parallel Multiobjective Particle Swarm Optimization Approach
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    Chapter 9 The Basic Principles of Metric Indexing
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    Chapter 10 Particle Evolutionary Swarm Multi-Objective Optimization for Vehicle Routing Problem with Time Windows
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    Chapter 11 Combining Correlated Data from Multiple Classifiers
Attention for Chapter 6: A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective
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