12 search results - page 2 / 3 » Angle-based outlier detection in high-dimensional data |
KDD
2005
ACM
13 years 10 months ago
2005
ACM
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
CSDA
2008
13 years 5 months ago
2008
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
GFKL
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
MICCAI
2005
Springer
14 years 5 months ago
2005
Springer
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...