166 search results - page 10 / 34 » Outlier Detection for High Dimensional Data |
ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
CSDA
2007
14 years 9 months ago
2007
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
We introduce a modified Kalman filter that performs robust, real-time outlier detection, without the need for manual parameter tuning by the user. Systems that rely on high quali...
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...