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• W2006013660 abstract "We present a methodology for sequence classification, which employs sequential pattern mining and optimization, in a two-stage process. In the first stage, a sequence classification model is defined, based on a set of sequential patterns and two sets of weights are introduced, one for the patterns and one for classes. In the second stage, an optimization technique is employed to estimate the weight values and achieve optimal classification accuracy. Extensive evaluation of the methodology is carried out, by varying the number of sequences, the number of patterns and the number of classes and it is compared with similar sequence classification approaches." @default.
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• W2006013660 date "2008-09-01" @default.
• W2006013660 modified "2023-10-14" @default.
• W2006013660 title "A two-stage methodology for sequence classification based on sequential pattern mining and optimization" @default.
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• W2006013660 doi "https://doi.org/10.1016/j.datak.2008.05.007" @default.
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