272 search results - page 4 / 55 » Unsupervised Outlier Detection in Time Series Data |
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Outlier detection in vehicle traffic data is a practical problem that has gained traction lately due to an increasing capability to track moving vehicles in city roads. In contrast...
KDD
2012
ACM
11 years 9 months ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
ICDM
2002
IEEE
14 years 9 days ago
2002
IEEE
This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...