Abstract
There are many applications for similarity search in time series data of which the following are just a small sample.
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1.
In finance, a trader may be interested in finding pairs of stocks that move similarly, perhaps with some lag.
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2.
In music, a person may want to find a song that is similar to one that he can hum.
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3.
In business management, spotting products with similar selling patterns can result in more efficient product management.
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4.
In environmental science, by comparing the pollutant level in different sections of a river, scientists can have a better understanding of environmental changes.
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© 2004 Dennis E. Shasha and Yunyue Zhu
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Shasha, D., Zhu, Y. (2004). Flexible Similarity Search. In: High Performance Discovery in Time Series. Monographs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4046-2_4
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DOI: https://doi.org/10.1007/978-1-4757-4046-2_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-1842-0
Online ISBN: 978-1-4757-4046-2
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