Buch, Englisch, Band 138, 328 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 6447 g
Buch, Englisch, Band 138, 328 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 6447 g
Reihe: Intelligent Systems Reference Library
ISBN: 978-3-319-67587-9
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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 Modi?ed Dynamic Programming Approach.- Ranking-Based Rule Classi?er Optimisation.- Attribute Selection in a Dispersed Decision-Making System.- Feature Selection Approach for Rule-based Knowledge Bases.- Feature Selection with a Genetic Algorithm for Classi?cation of Brain Imaging Data.
