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» Interpreting and Unifying Outlier Scores
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SDM
2011
SIAM
203views Data Mining» more  SDM 2011»
12 years 7 months ago
Interpreting and Unifying Outlier Scores
Outlier scores provided by different outlier models differ widely in their meaning, range, and contrast between different outlier models and, hence, are not easily comparable o...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
CIKM
2009
Springer
13 years 11 months ago
LoOP: local outlier probabilities
Many outlier detection methods do not merely provide the decision for a single data object being or not being an outlier but give also an outlier score or “outlier factor” sig...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
13 years 8 months ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 5 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...