A Generative Model For Time Series Discretization Based On Multiple Normal Distributions

PIKM@CIKM, 2015.

Cited by: 3|Bibtex|Views12|Links
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Abstract:

Discretization is a crucial first step in several time series mining applications. Our research proposes a novel method to discretize time series data and develops a similarity score based on the discretized representation. The similarity score allows us to compare two time series sequences and enables us to perform pattern learning tasks...More

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