Order-preserving pattern matching indeterminate strings

Costa, D. M. S.; S.​Russo, Luís M.; Henriques, Rui; Bannai, Hideo; Francisco, Alexandre P.

doi:10.1016/j.ic.2022.104924

Information and Computation

2022

DOI: 10.1016/j.ic.2022.104924

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Order-preserving pattern matching indeterminate strings

D. M. S. Costa

Luís M. S.Russo

Rui Henriques

et al.

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2024

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Order-Preserving Pattern Matching with Partition

Na,

Kim,

Kang

et al. 2024

Mathematics

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Order-preserving pattern matching, which considers the relative orders of strings, can be applied to time-series data analysis. To perform a more meaningful analysis of time-series data, approximate criteria for the order-isomorphism are necessary, considering diverse types of errors. In this paper, we introduce a novel approximation criterion for the order-isomorphism, called the partitioned order-isomorphism. We then propose an efficient O(n+sort(m))-time algorithm for the order-preserving pattern matching problem considering the criterion of partition. A comparative experiment demonstrates that the proposed algorithm is more effective than the exact order-preserving pattern matching algorithm.

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Order-Preserving Pattern Matching with Partition

Na,

Kim,

Kang

et al. 2024

Mathematics

View full text Add to dashboard Cite

show abstract

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Order-preserving pattern matching indeterminate strings

Cited by 1 publication

References 40 publications

Order-Preserving Pattern Matching with Partition

Order-Preserving Pattern Matching with Partition

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