Abstract
This paper addresses efficient processing of time-series subsequence matching under time warping. Time warping enables finding sequences with similar patterns even when they are of different lengths. The prefix-querying method is the first index-based approach that performs time-series subsequence matching under time warping without false dismissals. This method originally employs the L ∞ distance metric as a base distance function. This paper extends the prefix-querying method for absorbing L 1 instead of L ∞ . We formally prove that the extended prefix-querying method does not incur any false dismissals. The performance results reveal that our method achieves significant performance improvement over the previous methods up to 10.7 times.
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© 2006 Springer-Verlag Berlin Heidelberg
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Chang, B., Cha, J., Kim, SW., Shin, M. (2006). An Index-Based Time-Series Subsequence Matching Under Time Warping. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_125
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DOI: https://doi.org/10.1007/11892960_125
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
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