Swarm Intelligence for Multi-objective Problems in Data Mining
The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swar...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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Σειρά: | Studies in Computational Intelligence,
242 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- An Introduction to Swarm Intelligence for Multi-objective Problems
- Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers
- Multiobjective Particle Swarm Optimization in Classification-Rule Learning
- Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers
- Optimizing Decision Trees Using Multi-objective Particle Swarm Optimization
- A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective
- Rigorous Runtime Analysis of Swarm Intelligence Algorithms – An Overview
- Mining Rules: A Parallel Multiobjective Particle Swarm Optimization Approach
- The Basic Principles of Metric Indexing
- Particle Evolutionary Swarm Multi-Objective Optimization for Vehicle Routing Problem with Time Windows
- Combining Correlated Data from Multiple Classifiers.