000824694 000__ 01753cam\a2200445Mi\4500 000824694 001__ 824694 000824694 005__ 20230306144134.0 000824694 006__ m\\\\\o\\d\\\\\\\\ 000824694 007__ cr\cn\nnnunnun 000824694 008__ 171125s2017\\\\sz\\\\\\o\\\\\000\0\eng\d 000824694 019__ $$a1012749725 000824694 020__ $$a9783319675886$$q(electronic book) 000824694 020__ $$a3319675885$$q(electronic book) 000824694 020__ $$z9783319675879 000824694 020__ $$z3319675877 000824694 035__ $$aSP(OCoLC)on1012882726 000824694 035__ $$aSP(OCoLC)1012882726$$z(OCoLC)1012749725 000824694 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dOCLCO$$dN$T$$dGW5XE$$dYDX$$dOCLCQ$$dOCLCF$$dUAB$$dMERER$$dVT2$$dOCLCQ$$dU3W 000824694 049__ $$aISEA 000824694 050_4 $$aTK7882.P3 000824694 08204 $$a006.4$$223 000824694 24500 $$aAdvances in feature selection for data and pattern recognition /$$cUrszula Stańczyk, Beata Zielosko, Lakhmi C. Jain, editors. 000824694 260__ $$aCham :$$bSpringer,$$c2017. 000824694 300__ $$a1 online resource (334 pages). 000824694 336__ $$atext$$btxt$$2rdacontent 000824694 337__ $$acomputer$$bc$$2rdamedia 000824694 338__ $$aonline resource$$bcr$$2rdacarrier 000824694 4901_ $$aIntelligent Systems Reference Library ;$$vv. 138 000824694 506__ $$aAccess limited to authorized users. 000824694 588__ $$aDescription based on print version record. 000824694 650_0 $$aPattern recognition systems. 000824694 7001_ $$aStańczyk, Urszula. 000824694 7001_ $$aZielosko, Beata. 000824694 7001_ $$aJain, Lakhmi C. 000824694 77608 $$iPrint version:$$aStańczyk, Urszula.$$tAdvances in Feature Selection for Data and Pattern Recognition.$$dCham : Springer International Publishing, ©2017$$z9783319675879 000824694 830_0 $$aIntelligent systems reference library. 000824694 852__ $$bebk 000824694 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-67588-6$$zOnline Access$$91397441.1 000824694 909CO $$ooai:library.usi.edu:824694$$pGLOBAL_SET 000824694 980__ $$aEBOOK 000824694 980__ $$aBIB 000824694 982__ $$aEbook 000824694 983__ $$aOnline 000824694 994__ $$a92$$bISE