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KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 7 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
13 years 9 months ago
On community outliers and their efficient detection in information networks
Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Su...
AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 7 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
MDM
2009
Springer
126views Communications» more  MDM 2009»
14 years 2 months ago
Outlier Detection in Ad Hoc Networks Using Dempster-Shafer Theory
Mobile Ad-hoc NETworks (MANETs) are known to be vulnerable to a variety of attacks due to lack of central authority or fixed network infrastructure. Many security schemes have bee...
Wenjia Li, Anupam Joshi
TNN
2010
148views Management» more  TNN 2010»
13 years 2 months ago
A fast algorithm for robust mixtures in the presence of measurement errors
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Jianyong Sun, Ata Kabán