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» Anomaly Detection Using an Ensemble of Feature Models
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 8 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 5 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
KBSE
2000
IEEE
14 years 4 days ago
Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment
When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming a...
Tim Menzies, Erik Sinsel
FMSD
2006
119views more  FMSD 2006»
13 years 7 months ago
Feature interaction detection by pairwise analysis of LTL properties - A case study
A Promela specification and a set of temporal properties are developed for a basic call service with a number of features. The properties are expressed in the logic LTL. Interactio...
Muffy Calder, Alice Miller
ICASSP
2009
IEEE
13 years 11 months ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III