Advances in Feature Selection for Data and Pattern Recognition (eBook, PDF)

Redaktion: Stanczyk, Urszula; Jain, Lakhmi C.; Zielosko, Beata

• Format: PDF

Produktbeschreibung

Discusses recent developments and research trends in the field of feature selection and data and pattern recognition

Presents theoretical approaches as well as applications

Introduces novel propositions, highlighting and discussing properties of objects, analyzing intricacies of processes, and bounds on computational complexity

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 328
• Erscheinungstermin: 16. November 2017
• Englisch
• ISBN-13: 9783319675886
• Artikelnr.: 52940279

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.