Editors:
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 138)
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Table of contents (15 chapters)
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Front Matter
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Nature and Representation of Data
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Front Matter
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Image, Shape, Motion, and Audio Detection and Recognition
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Front Matter
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About this book
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.
Editors and Affiliations
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Silesian University of Technology , Gliwice, Poland
Urszula Stańczyk
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University of Silesia in Katowice , Katowice, Poland
Beata Zielosko
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University of Bournemouth , Poole, United Kingdom
Lakhmi C. Jain
Bibliographic Information
Book Title: Advances in Feature Selection for Data and Pattern Recognition
Editors: Urszula Stańczyk, Beata Zielosko, Lakhmi C. Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-67588-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-67587-9Published: 27 November 2017
Softcover ISBN: 978-3-319-88452-3Published: 01 September 2018
eBook ISBN: 978-3-319-67588-6Published: 16 November 2017
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVIII, 328
Number of Illustrations: 17 b/w illustrations, 20 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Pattern Recognition, Data Mining and Knowledge Discovery