Alternative quality measures for time series shapelets

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Abstract

Classification is a very broad and prevalent topic of research within data mining. Whilst heavily related, time series classification (TSC) offers a more specific challenge. One of the most promising approaches proposed for TSC is time series shapelets. In this paper, we assess the current quality measure for shapelet extraction and introduce two statistical tests for shapelet finding. We show that when compared to information gain, these two quality measures can speed up shapelet extraction whilst still producing classifiers that are as accurate as the original.
Original languageEnglish
Pages (from-to)475-483
Number of pages9
JournalLecture Notes in Computer Sciences
Volume7435
DOIs
Publication statusPublished - 2012

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