Advances in Feature Selection for Data and Pattern Recognition

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.

List of contents

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.

Summary

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
 

Product details

• Assisted by: Lakhmi C Jain (Editor), Lakhmi C. Jain (Editor), Urszula Sta¿czyk (Editor), Urszula Stanczyk (Editor), Urszula Stańczyk (Editor), Beat Zielosko (Editor), Beata Zielosko (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2017
• EAN: 9783319675879
• ISBN: 978-3-31-967587-9
• No. of pages: 328
• Dimensions: 160 mm x 242 mm x 25 mm
• Weight: 678 g
• Illustrations: XVIII, 328 p. 37 illus., 20 illus. in color.
• Series: Intelligent Systems Reference Library; Intelligent Systems Reference Library
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Data Mining, Artificial Intelligence, Wissensbasierte Systeme, Expertensysteme, engineering, pattern recognition, Data Mining and Knowledge Discovery, Automated Pattern Recognition, Computational Intelligence, Expert systems / knowledge-based systems