TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-662-45620-0
DO  - doi
AB  - 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.
T1  - Feature selection for data and pattern recognition
AU  - Stańczyk, Urszula,
AU  - Jain, L. C.,
VL  - volume 584
CN  - TK7882.P3
ID  - 725323
KW  - Pattern recognition systems.
KW  - Rough sets.
SN  - 9783662456200
SN  - 3662456206
TI  - Feature selection for data and pattern recognition
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-45620-0
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-45620-0
ER  -