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Order-Preserving Pattern Matching with Partition

Author

Listed:
  • Joong Chae Na

    (Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea
    These authors contributed equally to this work.)

  • Youngjoon Kim

    (Department of Computer Engineering, Inha University, Incheon 22212, Republic of Korea
    These authors contributed equally to this work.)

  • Seokchul Kang

    (Department of Computer Engineering, Inha University, Incheon 22212, Republic of Korea)

  • Jeong Seop Sim

    (Department of Computer Engineering, Inha University, Incheon 22212, Republic of Korea)

Abstract

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 + s o r t ( 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.

Suggested Citation

  • Joong Chae Na & Youngjoon Kim & Seokchul Kang & Jeong Seop Sim, 2024. "Order-Preserving Pattern Matching with Partition," Mathematics, MDPI, vol. 12(21), pages 1-12, October.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:21:p:3381-:d:1509396
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