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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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Stańczyk, Urszula (Editör), Zielosko, Beata (Editör), Jain, Lakhmi C. (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Seri Bilgileri:Intelligent Systems Reference Library, 138
Konular:
Computational intelligence.
Artificial intelligence.
Pattern recognition systems.
Data mining.
Computational Intelligence.
Artificial Intelligence.
Automated Pattern Recognition.
Data Mining and Knowledge Discovery.
Online Erişim:Full-text access
İçindekiler:
  • 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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