01194nam a2200253 c 4500001001300000005001500013008004100028040001100069041001300080052002900093245018300122300002600305545004700331545004700378545007700425653009200502700004100594700004800635700004800683773015400731900001900885900001800904900001800922KSI00091272720140210141354130820s2013    hck           000   kor    a0110010 akorbeng01a505b산414ㅅㄱc14(4)00a다중 클래스 SVM을 이용한 트래픽의 이상패턴 검출 =xTraffic anomaly identification using multi-class support vector machine /d박영재,e김계영,e장석우  ap. 1942-1950 ;c26 cm  a박영재, 숭실대학교 컴퓨터학부  a김계영, 숭실대학교 컴퓨터학부  a장석우, 안양대학교 디지털미디어학과bswjang@anyang.ac.kr  aLearningaMorphological operationaMulti-classaSupport vector machineaTraffic anomaly1 a박영재,d1982-0KAC2017445804aut1 a김계영,g金啓榮,d1964-0KAC2018325261 a장석우,g張錫宇,d1972-0KAC2015149290 t한국산학기술학회논문지.d한국산학기술학회.g제14권 4호(2013년 4월), p. 1942-1950q14:4<1942w(011001)KSE200301918,x1975-470110aPark, Youngjae10aKim, Gyeyoung10aJang, Seokwoo