000725323 000__ 02749cam\a2200469Ii\4500 000725323 001__ 725323 000725323 005__ 20230306140632.0 000725323 006__ m\\\\\o\\d\\\\\\\\ 000725323 007__ cr\cn\nnnunnun 000725323 008__ 150122s2015\\\\gw\a\\\\ob\\\\001\0\eng\d 000725323 020__ $$a9783662456200$$qelectronic book 000725323 020__ $$a3662456206$$qelectronic book 000725323 020__ $$z9783662456194 000725323 0247_ $$a10.1007/978-3-662-45620-0$$2doi 000725323 035__ $$aSP(OCoLC)ocn900615370 000725323 035__ $$aSP(OCoLC)900615370 000725323 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dCOO$$dOCLCF$$dYDXCP 000725323 049__ $$aISEA 000725323 050_4 $$aTK7882.P3 000725323 08204 $$a006.4$$223 000725323 24500 $$aFeature selection for data and pattern recognition$$h[electronic resource] /$$cUrszula Stańczyk, Lakhmi C. Jain, editors. 000725323 264_1 $$aHeidelberg :$$bSpringer,$$c2015. 000725323 300__ $$a1 online resource (xviii, 355 pages) :$$billustrations. 000725323 336__ $$atext$$btxt$$2rdacontent 000725323 337__ $$acomputer$$bc$$2rdamedia 000725323 338__ $$aonline resource$$bcr$$2rdacarrier 000725323 4901_ $$aStudies in Computational Intelligence,$$x1860-949X ;$$vvolume 584 000725323 504__ $$aIncludes bibliographical references and index. 000725323 5050_ $$aFeature Selection for Data and Pattern Recogniton: an Introduction -- Part I Estimation of Feature Importance -- Part II Rough Set Approach to Attribute Reduction -- Part III Rule Discovery and Evaluation -- Part IV Data- and Domain-oriented Methodologies. 000725323 506__ $$aAccess limited to authorized users. 000725323 520__ $$aThis research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies. 000725323 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 22, 2015). 000725323 650_0 $$aPattern recognition systems. 000725323 650_0 $$aRough sets. 000725323 7001_ $$aStańczyk, Urszula,$$eeditor. 000725323 7001_ $$aJain, L. C.,$$eeditor. 000725323 77608 $$iPrint version:$$z9783662456194 000725323 830_0 $$aStudies in computational intelligence ;$$v584. 000725323 852__ $$bebk 000725323 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-45620-0$$zOnline Access$$91397441.1 000725323 909CO $$ooai:library.usi.edu:725323$$pGLOBAL_SET 000725323 980__ $$aEBOOK 000725323 980__ $$aBIB 000725323 982__ $$aEbook 000725323 983__ $$aOnline 000725323 994__ $$a92$$bISE