253 search results - page 13 / 51 » Fast algorithms for time series mining |
98
Voted
ICDM
2009
IEEE
15 years 7 months ago
2009
IEEE
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
EDBT
2004
ACM
16 years 12 days ago
2004
ACM
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
105
Voted
KDD
2005
ACM
16 years 20 days ago
2005
ACM
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
SODA
2008
ACM
15 years 1 months ago
2008
ACM
The Fast Johnson-Lindenstrauss Transform (FJLT) was recently discovered by Ailon and Chazelle as a novel technique for performing fast dimension reduction with small distortion fr...
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...