00000cmm a22000005i 4500 UP-99796217612749711 Buklod 20230215105418.0 m |o d | ta 141230s2015 xx o u | eng d 9783662456200 (online ISBN) (iLib)UPD-00362013750 WaSeSS DENGII rda eng DMLUC TK 7882 P3 F43 2015eb Feature selection for data and pattern recognition Urszula Stanczyk, Lakhmi C. Jain, editors. Berlin, Heidelberg Springer Berlin Heidelberg [2015] 1 online resource. text rdacontent computer rdamedia online resource rdacarrier Studies in Computational Intelligence v. 584 1860-949X Part I Estimation of Feature Importance -- Part II Rough Set Approach to Attribute Reduction -- Part III Rule Discovery and Evaluation -- Part IV Data- and Domain-oriented Methodologies. IP-based subscription, on-campus and remote access. Access via Electronic Resources of the UPD Engineering Library and University Library websites. 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 the 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 the importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with a focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies. Electronic reproduction. New York SpringerLink 2015. Available via World Wide Web through SpringerLink. Pattern recognition systems. Rough sets. Electronic books. Stanczyk, Urszula editor. Jain, L. C. editor. SpringerLink (Online service). Electronic Resource https://dx.doi.org/10.1007/978-3-662-45620-0 Available for University of the Philippines System via SpringerLink. Click here to access https://link-springer-com.ezproxy.engglib.upd.edu.ph/book/10.1007%2F978-3-662-45620-0 Also available remotely for University of the Philippines System via SpringerLink. Click here to access thru EZproxy (viewed 23 March 2019) FO UPD DENG-II Electronic Resource