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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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A Simple, Fast, Filter-Based Algorithm for Approximate Circular Pattern Matching.

Md Aashikur Rahman Azim, Costas S Iliopoulos, M Sohel Rahman

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    This study introduces a fast algorithm for approximate circular pattern matching (ACPM) with mismatches, crucial for biological applications. The new filter-based method significantly outperforms existing algorithms, offering a near twofold speed improvement.

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    Area of Science:

    • Computational biology
    • Bioinformatics algorithms
    • Pattern recognition

    Background:

    • The circular pattern matching problem involves finding rotated pattern occurrences in text.
    • Approximate matching with k-mismatches (ACPM) is vital in biological sequence analysis.
    • Existing algorithms for ACPM can be computationally intensive.

    Purpose of the Study:

    • To develop a simple and efficient algorithm for the approximate circular pattern matching (ACPM) problem.
    • To address the need for faster pattern matching in biological contexts.
    • To improve upon the performance of current state-of-the-art ACPM algorithms.

    Main Methods:

    • A novel filter-based algorithm is presented for solving the ACPM problem.
    • The algorithm utilizes lightweight and effective filtering strategies.
    • Performance is evaluated against established state-of-the-art algorithms.

    Main Results:

    • The proposed algorithm demonstrates excellent performance in solving the ACPM problem.
    • Experimental results show the algorithm runs nearly twice as fast as existing methods.
    • The efficiency is attributed to the simplicity and effectiveness of its filters.

    Conclusions:

    • The developed filter-based algorithm provides a significant advancement for approximate circular pattern matching.
    • This method offers a faster and more efficient solution for biological applications requiring pattern matching.
    • The algorithm's simplicity and speed make it a valuable tool in bioinformatics.