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Advances in Feature Selection for Data and Pattern Recognition

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Advances in Feature Selection for Data and Pattern Recognition Synopsis

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, professorsand practitioners.

About This Edition

ISBN: 9783319675879
Publication date: 27th November 2017
Author: Urszula Stanczyk, Beata Zielosko, Lakhmi C Jain
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 328 pages
Series: Intelligent Systems Reference Library
Genres: Artificial intelligence
Expert systems / knowledge-based systems
Pattern recognition
Data mining