Advances in Feature Selection for Data and Pattern Recognition

This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some...

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Bibliographische Detailangaben
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing, 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Intelligent Systems Reference Library, 138
Schlagworte:
Computational intelligence.
Artificial intelligence.
Pattern recognition.
Data mining.
ISBN:9783319675886
ISSN:1868-4394 ;
Online-Zugang: Volltext
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Inhaltsangabe:
  • An Introduction
  • Attribute Selection Based on Reduction of Numerical Attribute During Discretization
  • Improving Bagging Ensembles for Class Imbalanced Data by Active Learning
  • Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach
  • Ranking-Based Rule Classifier Optimisation
  • Attribute Selection in a Dispersed Decision-Making System
  • Feature Selection Approach for Rule-based Knowledge Bases
  • Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data.

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