19 search results - page 3 / 4 » Unfolding preprocessing for meaningful time series clusterin... |
ICDM
2009
IEEE
14 years 13 days ago
2009
IEEE
—Time series motifs are sets of very similar subsequences of a long time series. They are of interest in their own right, and are also used as inputs in several higher-level data...
TMI
2008
13 years 5 months ago
2008
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
RECOMB
2002
Springer
14 years 6 months ago
2002
Springer
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
TSE
2002
13 years 5 months ago
2002
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...