Advances in feature selection for data and pattern recognition 1st ed.

Author

Additional Author(s)

• Stańczyk, Urszula
• Zielosko, Beata
• Jain, Lakhmi C.

Publisher

Cham: Springer International Publishing, 2018

Language

English

ISBN

9783319675886

Series

Intelligent Systems Reference Library 138

Subject(s)

• ARTIFICIAL INTELLIGENCE
• COMPUTATIONAL INTELLIGENCE
• PATTERN RECOGNITION SYSTEMS

Notes

. .

Abstract

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 of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.

Physical Dimension

Number of Page(s)

1 online resource (xviii, 238 p).

Dimension

-

Other Desc.

ill.

Summary / Review / Table of Content

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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00600/20	006.4 Adv	Online !	Available