Advances in Feature Selection for Data and Pattern Recognition: Intelligent Systems Reference Library, cartea 138
Editat de Urszula Stańczyk, Beata Zielosko, Lakhmi C. Jainen Limba Engleză Hardback – 27 noi 2017
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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 598.55 lei 38-44 zile | |
| Springer International Publishing – sep 2018 | 598.55 lei 38-44 zile | |
| Hardback (1) | 641.13 lei 43-57 zile | |
| Springer International Publishing – 27 noi 2017 | 641.13 lei 43-57 zile |
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Specificații
ISBN-13: 9783319675879
ISBN-10: 3319675877
Pagini: 328
Ilustrații: XVIII, 328 p. 37 illus., 20 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.66 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
ISBN-10: 3319675877
Pagini: 328
Ilustrații: XVIII, 328 p. 37 illus., 20 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.66 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
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