Abstract
Jaro similarity is widely used in computing the similarity (or distance) between two strings of characters. For example, record linkage is an application of great interest in many domains for which Jaro similarity is popularly employed. Existing algorithms for computing the Jaro similarity between two given strings take quadratic time in the worst case. In this paper, we present an algorithm for Jaro similarity computation that takes only linear time. We also present experimental results that reveal that our algorithm outperforms existing algorithms.
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Acknowledgements.
This work was partially supported by the United States Census Bureau under Award Number CB21RMD0160003. The content is solely the responsibility of the authors and does not necessarily represent the official views of the US Census Bureau.
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Basak, J. et al. (2023). On Computing the Jaro Similarity Between Two Strings. In: Guo, X., Mangul, S., Patterson, M., Zelikovsky, A. (eds) Bioinformatics Research and Applications. ISBRA 2023. Lecture Notes in Computer Science(), vol 14248. Springer, Singapore. https://doi.org/10.1007/978-981-99-7074-2_3
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DOI: https://doi.org/10.1007/978-981-99-7074-2_3
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