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Anomaly detection
Results: 503

#	Item
51	Towards Detecting Anomalous User Behavior in Online Social Networks Bimal Viswanath MPI-SWS Krishna P. Gummadi MPI-SWS Add to Reading List Source URL: www.mpi-sws.org Language: English - Date: 2014-07-14 10:42:22 Software Computing Facebook Social networking services Universal Windows Platform apps Anomaly detection Data mining Data security Malware Google Chrome Criticism of Facebook
52	An Incremental Learner for Language-Based Anomaly Detection in XML Harald Lampesberger Department of Secure Information Systems University of Applied Sciences Upper Austria Add to Reading List Source URL: spw16.langsec.org Language: English - Date: 2016-06-05 23:39:24 Computing Identity management Computer access control Security Assertion Markup Language SOAP WS-Security XML schema
53	Microsoft PowerPoint - ALERT_poster_JWang.pptx Add to Reading List Source URL: www.northeastern.edu Language: English - Date: 2012-07-09 12:22:54 Algebra Mathematics Statistics Multivariate statistics Statistical classification Dimension reduction Linear algebra Support vector machine Kernel Principal component analysis Vector space Anomaly detection
54	AUTOMATIC OUTLIER DETECTION IN MUSIC GENRE DATASETS Yen-Cheng Lu1 Chih-Wei Wu2 Chang-Tien Lu1 Add to Reading List Source URL: m.mr-pc.org Language: English - Date: 2016-07-29 14:11:56 Statistics Data mining Robust statistics Statistical classification Outlier Statistical analysis Local outlier factor Anomaly detection K-nearest neighbors algorithm Random sample consensus Hans-Peter Kriegel Support vector machine
55	Sequential Feature Explanations for Anomaly Detection Md Amran Siddiqui, Alan Fern, Thomas G. Die8erich and Weng-Keen Wong School of EECS Add to Reading List Source URL: intelligence.org Language: English - Date: 2016-05-31 11:21:14 Statistics Computer security Computer network security Outlier Statistical analysis Anomaly Threat
56	Using Data Mining Techniques for Detecting Terror-Related Activities on the Web Y.Elovici1, A.Kandel2, M.Last1, B.Shapira1, O. Zaafrany1 1 Add to Reading List Source URL: www.ise.bgu.ac.il Language: English - Date: 2004-08-02 11:37:04 Data mining Statistics Cluster analysis Geostatistics Information Data Anomaly detection K-means clustering Multivariate statistics
57	Data Driven Investigation of Faults in HVAC Systems with Model, Cluster and Compare (MCC) Balakrishnan Narayanaswamy† , Bharathan Balaji† , Rajesh Gupta† , Yuvraj Agarwal†‡ † University ‡ Carnegie Add to Reading List Source URL: mesl.ucsd.edu Language: English - Date: 2015-03-04 00:04:56 Heating ventilating and air conditioning Mechanical engineering Control theory Systems engineering Building automation Sustainable urban planning Variable air volume Anomaly detection Thermostat Fault detection and isolation Control system HVAC
58	Finding large near-cliques in massive networks is a notoriously hard problem of great importance to many applications, including anomaly detection in security, community detection in social networks, and mining the Web g Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
59	SYSTEMATIC CONSTRUCTION OF ANOMALY DETECTION BENCHMARKS FROM REAL DATA Outlier Detection And Description Workshop 2013 Add to Reading List Source URL: www.outlier-analytics.org Language: English - Date: 2013-09-06 10:43:41 Data security Computer security Data mining DARPA Georgia Tech Research Institute Anomaly detection Anomaly Detection at Multiple Scales Anomaly Outlier Benchmark Synthetic data
60	Detecting Changes in a Dynamic Social Network Ian McCulloh March 31, 2009 CMU-ISR Add to Reading List Source URL: www.casos.cs.cmu.edu Language: English - Date: 2010-01-18 19:22:21 Social networks Change detection CUSUM Social information processing Social systems Control chart Time series Social network analysis Anomaly detection

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