Alternative quality measures for time series shapelets

Lines, Jason ORCID: https://orcid.org/0000-0002-1496-5941 and Bagnall, Anthony (2012) Alternative quality measures for time series shapelets. Lecture Notes in Computer Sciences, 7435. pp. 475-483. ISSN 0302-9743

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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.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Data Science and Statistics
Depositing User:	Users 2731 not found.
Date Deposited:	12 Sep 2012 11:45
Last Modified:	08 Nov 2022 10:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/39535
DOI:	10.1007/978-3-642-32639-4_58

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