78 search results - page 9 / 16 » Mining partial periodic correlations in time series |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
PKDD
2005
Springer
14 years 1 months ago
2005
Springer
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
GFKL
2006
Springer
13 years 11 months ago
2006
Springer
We begin with pervasive ultrametricity due to high dimensionality and/or spatial sparsity. How extent or degree of ultrametricity can be quantified leads us to the discussion of va...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...