Advances in feature selection for da...
Stanczyk, Urszula.

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  • Advances in feature selection for data and pattern recognition
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Advances in feature selection for data and pattern recognition/ edited by Urszula Stanczyk, Beata Zielosko, Lakhmi C. Jain.
    其他作者: Stanczyk, Urszula.
    出版者: Cham :Springer International Publishing : : 2018.,
    面頁冊數: xviii, 328 p. :ill., digital ;24 cm.
    內容註: 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.
    Contained By: Springer eBooks
    標題: Pattern recognition systems. -
    電子資源: http://dx.doi.org/10.1007/978-3-319-67588-6
    ISBN: 9783319675886
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