Feature Selection for Data and Pattern Recognition e-bog
1386,89 DKK
(inkl. moms 1733,61 DKK)
This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and...
E-bog
1386,89 DKK
Forlag
Springer
Udgivet
30 december 2014
Genrer
Artificial intelligence
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783662456200
This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.