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» Prototype based outlier detection
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CCE
2004
13 years 7 months ago
On-line outlier detection and data cleaning
Outliers are observations that do not follow the statistical distribution of the bulk of the data, and consequently may lead to erroneous results with respect to statistical analy...
Hancong Liu, Sirish Shah, Wei Jiang
VLDB
2005
ACM
153views Database» more  VLDB 2005»
14 years 7 months ago
An effective and efficient algorithm for high-dimensional outlier detection
Abstract. The outlier detection problem has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. Most such applications are...
Charu C. Aggarwal, Philip S. Yu
MICCAI
2007
Springer
14 years 1 months ago
Shape-Based Myocardial Contractility Analysis Using Multivariate Outlier Detection
Abstract. This paper presents a new approach to regional myocardial contractility analysis based on inter-landmark motion (ILM) vectors and multivariate outlier detection. The prop...
Karim Lekadir, Niall Keenan, Dudley Pennell, Guang...
NC
1998
102views Neural Networks» more  NC 1998»
13 years 8 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
SIGMOD
2001
ACM
142views Database» more  SIGMOD 2001»
14 years 7 months ago
Outlier Detection for High Dimensional Data
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
Charu C. Aggarwal, Philip S. Yu