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Derivative dynamic time warping (2001)

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by Eamonn J. Keogh , Michael J. Pazzani
Venue:In SIAM International Conference on Data Mining
Citations:121 - 1 self
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BibTeX

@INPROCEEDINGS{Keogh01derivativedynamic,
    author = {Eamonn J. Keogh and Michael J. Pazzani},
    title = {Derivative dynamic time warping},
    booktitle = {In SIAM International Conference on Data Mining},
    year = {2001}
}

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Abstract

Time series are a ubiquitous form of data occurring in virtually every scientific discipline. A common task with time series data is comparing one sequence with another. In some domains a very simple distance measure, such as Euclidean distance will suffice. However, it is often the case that two sequences have the approximately the same overall

Keyphrases

derivative dynamic time    time series data    euclidean distance    time series    common task    ubiquitous form    simple distance measure    scientific discipline   

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