caa a22 4500 445360488 CHVBK 20180317142913.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s11071-010-9851-y doi (NATIONALLICENCE)springer-10.1007/s11071-010-9851-y Local density one-class support vector machines foranomaly detection [Elektronische Daten] [Jiang Tian, Hong Gu, Chiyang Gao, Jie Lian] Anomalies are patterns in data that do not conform to a well-defined notion of normal behavior. One-class Support Vector Machines calculate a hyperplane in the feature space to distinguish anomalies, however, it may not identify the ideal hyperplane especially when the support vectors do not have the overall characteristics of the target data. So, we propose a new local density OCSVM by incorporating distance measurements based on local density degree to reflect the distribution of a given data set. Experimental results on UCI data sets show that the proposed method can achieve better performance than other one class learning schemes. Springer Science+Business Media B.V., 2010 One class support vector machine nationallicence Anomaly detection nationallicence Local density degree nationallicence Tian Jiang China Software Testing Center, China Center for Information Industry Development, 100048, Beijing, China aut Gu Hong School of Control Science and Engineering, Dalian University of Technology, 116023, Dalian, China aut Gao Chiyang China Software Testing Center, China Center for Information Industry Development, 100048, Beijing, China aut Lian Jie School of Control Science and Engineering, Dalian University of Technology, 116023, Dalian, China aut Nonlinear Dynamics Springer Netherlands 64/1-2(2011-04-01), 127-130 0924-090X 64:1-2<127 2011 64 11071 https://doi.org/10.1007/s11071-010-9851-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11071-010-9851-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tian Jiang China Software Testing Center, China Center for Information Industry Development, 100048, Beijing, China aut NATIONALLICENCE 700 1- Gu Hong School of Control Science and Engineering, Dalian University of Technology, 116023, Dalian, China aut NATIONALLICENCE 700 1- Gao Chiyang China Software Testing Center, China Center for Information Industry Development, 100048, Beijing, China aut NATIONALLICENCE 700 1- Lian Jie School of Control Science and Engineering, Dalian University of Technology, 116023, Dalian, China aut NATIONALLICENCE 773 0- Nonlinear Dynamics Springer Netherlands 64/1-2(2011-04-01), 127-130 0924-090X 64:1-2<127 2011 64 11071 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer