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Local outlier factor
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#	Item
21	Network Intrusion Detection using a Secure Ranking of Hidden Outliers Marwan Hassani and Thomas Seidl Data Management and Data Exploration Group RWTH Aachen University, Germany {hassani, seidl}@cs.rwth-aachen.de Add to Reading List Source URL: dme.rwth-aachen.de Language: English - Date: 2015-02-10 13:03:28 Cluster analysis Geostatistics Machine learning Anomaly detection SUBCLU Outlier Intrusion detection system Clustering high-dimensional data Local outlier factor Statistics Data mining Data analysis
22	13th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD 2009), Bangkok, Thailand, 2009 Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data Hans-Peter Kriegel, Peer Kr¨oger, Erich Schuber Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2009-05-13 09:00:11 Data analysis Local outlier factor Multivariate statistics ELKI Outlier Anomaly detection Cluster analysis Hans-Peter Kriegel RANSAC Statistics Data mining Robust statistics
23	Microsoft PowerPoint - elki.ppt [Kompatibilitätsmodus] Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-03-17 11:47:51 ELKI Robust statistics Outlier Anomaly detection Local outlier factor Statistics Data analysis Data mining
24	Angle-Based Outlier Detection in High-dimensional Data Hans-Peter Kriegel Matthias Schubert Arthur Zimek Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2012-01-20 10:47:17 Data analysis Local outlier factor Outlier Machine learning Anomaly detection RANSAC Hans-Peter Kriegel Plot K-nearest neighbor algorithm Statistics Data mining Robust statistics
25	SDM11-outlier-preprint.pdf Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2011-01-17 11:04:03 Multivariate statistics Robust statistics Statistical theory Local outlier factor Outlier Anomaly detection ELKI Mahalanobis distance Errors and residuals in statistics Statistics Data mining Data analysis
26	Subsampling for Efficient and Effective Unsupervised Outlier Detection Ensembles ∗ † Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2013-06-04 08:13:57 Robust statistics Outlier ELKI Anomaly detection Ensemble learning Quartile Receiver operating characteristic Local outlier factor Statistics Data mining Data analysis
27	to appear in: Proceedings of the 14th SIAM International Conference on Data Mining (SDM), Philadelphia, PA, 2014 Generalized Outlier Detection with Flexible Kernel Density Estimates Erich Schubert Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2014-01-23 04:30:21 Local outlier factor Outlier Anomaly detection ELKI Kernel density estimation Hans-Peter Kriegel K-nearest neighbor algorithm OPTICS algorithm Robust statistics Statistics Non-parametric statistics Data mining
28	Discriminative Features for Identifying and Interpreting Outliers Xuan Hong Dang, Ira Assent Department of Computer Science Aarhus University Aarhus, Denmark {dang,ira}@cs.au.dk Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2013-12-16 05:00:30 Data mining Data analysis Linear algebra Robust statistics Singular value decomposition Local outlier factor Principal component analysis RANSAC Outlier Statistics Algebra Mathematics
29	A Comparison of Propositionalization Strategies for Creating Features from Linked Open Data Petar Ristoski and Heiko Paulheim University of Mannheim, Germany Research Group Data and Web Science {petar.ristoski,heiko}@inf Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-08-04 13:13:14 Information science DBpedia Linked data Weka Anomaly detection Tf*idf Local outlier factor Document classification Association rule learning Statistics Data mining Science
30	Institut für Informatik und Wirtschaftsinformatik -- Lehrstuhl für Wirtschaftsinformatik V Dr. Heiko Paulheim / Robert Meusel Exercise 3: Data Mining II – Anomaly Detection In this exercise we will focus on Anomaly D Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:13 Anomaly detection Data security Robust statistics Outlier RapidMiner Local outlier factor Statistics Data analysis Data mining

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