272 search results - page 5 / 55 » Unsupervised Outlier Detection in Time Series Data |
SDM
2012
SIAM
11 years 8 months ago
2012
SIAM
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
ICMLA
2008
13 years 7 months ago
2008
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
SAC
2009
ACM
14 years 16 days ago
2009
ACM
Outlyingness is a subjective concept relying on the isolation level of a (set of) record(s). Clustering-based outlier detection is a field that aims to cluster data and to detect...
IDA
2001
Springer
13 years 10 months ago
2001
Springer
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...