[1] Hawkins D M.Identication of Outliers[M].London:Chapman and Hall,1980.
[2] Hodge V J,Austin J.A survey of outlier detection methodologies[J].Artificial Intelligence Review,2004,22(2):85-126.
[3] Aral K D,Güvenir H A,et al.A prescription fraud detection model[J].Computer Methods & Programs in Biomedicine,2012,106(1):37-46.
[4] 江峰,杜军威,葛艳,等.基于粗糙集理论的序列离群点检测[J].电子学报,2011,39(2):345-350. Jiang F,Du J W,Ge Y,et al.Sequence outlier detection based on rough set theory[J].Acta Electronica Sinica,2011,39(2):345-350.(in Chinese)
[5] Yang Z,Wang S,Fu X.Pattern recognition-based chillers fault detection method using support vector data description (SVDD)[J].Applied Energy,2013,112(4):1041-1048.
[6] Shepherd J M,Burian S J.Detection of urban-induced rainfall anomalies in a major coastal city[J].Earth Interactions,2002,7(4):1-17.
[7] Prastawa M,Bullitt E,Ho S,et al.A brain tumor segmentation framework based on outlier detection[J].Medical Image Analysis,2004,8(3):275-283.
[8] Tax D M J,Duin R P W.Support vector domain description[J].Pattern Recognition Letters,1999,20(11-13):1191-1199.
[9] 方景龙,王万良,王兴起,等.求解多示例问题的支持向量数据描述方法[J].电子学报,2013,41(4):763-767. Fang J L,Wang W L,Wang X Q,et al.Support vector data description method for solving multiple instance problems[J].Acta Electronica Sinica,2013,41(4):763- 767.(in Chinese)
[10] 胡正平,冯凯.高维空间多分辨率最小生成树模型的自适应一类分类算法[J].自动化学报,2012,38(5):769-775. Hu Z P,Feng K.An adaptive one-class classification algorithm based on multi-resolution minimum spanning tree model in high-dimensional space[J].Acta Automatica Sinica,2012,38(5):769-775.(in Chinese)
[11] Liu B,Xiao Y,Yu P S,et al.An efficient approach for outlier detection with imperfect data labels[J].IEEE Transactions on Knowledge & Data Engineering,2014,26(7):1602-1616.
[12] Chen G,Zhang X,Wang Z J,et al.Robust support vector data description for outlier detection with noise or uncertain data[J].Knowledge-Based Systems,2015,90(C):129-137.
[13] Lee K,Kim D W,Lee K H,et al.Density-induced support vector data description[J].IEEE Transactions on Neural Networks,2007,18(1):284-289.
[14] Cha M,Kim J S,Baek J G.Density weighted support vector data description[J].Expert Systems with Applications,2014,41(7):3343-3350.
[15] Liu B,Xiao Y,Cao L,et al.SVDD-based outlier detection on uncertain data[J].Knowledge & Information Systems,2013,34(3):597-618.
[16] Bezdek J C.Pattern Recognition with Fuzzy Objective Function Algorithms[M].Plenum Press,1981.
[17] Krishnapuram R,Keller J M.A possibilistic approach to clustering[J].IEEE Transactions on Fuzzy Systems,1993,1(2):98-110.
[18] 陈斌,冯爱民,陈松灿,等.基于单簇聚类的数据描述[J].计算机学报,2007,30(8):1325-1332. Chen B,Feng A M,Chen S C,et al.One-cluster clustering based data description[J].Chinese Journal of Computers,2007,30(8):1325-1332.(in Chinese)
[19] Vapnik V N.The Nature of Statistical Learning Theory[M].Springer,2000.988-999. |