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GFKL
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
KDD
2005
ACM
14 years 7 months 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 ...
SYRCODIS
2007
13 years 8 months ago
2007
A problem of association rules discovery in a multivariate time series is considered in this paper. A method for finding interpretable association rules between frequent qualitati...
MICAI
2004
Springer
14 years 24 days ago
2004
Springer
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
ISI
2007
Springer
14 years 1 months ago
2007
Springer
Abstract—We present an extended version of a software system SIGHTS1 (Statistical Identification of Groups Hidden in Time and Space), which can be used for the discovery, analys...