Advances in Feature Selection for Data and Pattern Recognition (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 138
Release date:	November 2017
First published:	2018
Editors:	Urszula Stanczyk • Beata Zielosko • Lakhmi C. Jain
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	328
Edition:	1st ed. 2018
ISBN-13:	978-3-319-67587-9
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-67587-7
Barcode:	9783319675879

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