GA-iForest:An Efficient Isolated Forest Framework Based on Genetic Algorithm for Numerical Data Outlier DetectionOACSCDCSTPCD

作者：LI Kexin;LI Jing;LIU Shuji;LI Zhao;BO Jue;LIU Biqi

作者单位：College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,P.R.ChinaCollege of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,P.R.ChinaState Grid Liaoning Electric Power Supply Co.,LTD,Shenyang 110004,P.R.ChinaState Grid Liaoning Electric Power Supply Co.,LTD,Shenyang 110004,P.R.ChinaState Grid Liaoning Electric Power Supply Co.,LTD,Shenyang 110004,P.R.ChinaState Grid Liaoning Electric Power Supply Co.,LTD,Shenyang 110004,P.R.China

分类：信息技术与安全科学

中文关键词：outlier detectionisolation treeisolated forestgenetic algorithmfeature selection

英文关键词：outlier detectionisolation treeisolated forestgenetic algorithmfeature selection

刊名：《南京航空航天大学学报（英文版）》 2019 (6)

页码/页数：1026-1038,13

基金：This work was supported by the StateGrid Liaoning Electric Power Supply CO,LTD.We are grateful to the reviewers who have given their support and valuable comments and the financial support for the"Key Technology and Application Research of the Self-Service Grid Big Data Governance (No.SGLNXT00YJJS1800110)".