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BFM: a forward backward string matching algorithm with improved shifting for information retrieval

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Abstract

Mining data from text is often becomes a crucial part of data mining tasks. With the growing tendency of using cloud and sharing more and more files over the internet, the necessity of applying a string matching algorithm in text mining has increased rapidly in present time. These algorithms need to make less character comparisons and pattern shifts while searching. In this paper, we’re proposing a new algorithm named Back and Forth Matching (BFM) algorithm that works faster by matching a pattern from both the forward and backward direction. It shows a tremendous improvement, in comparison to other algorithms, while matching strings in large text files.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh

    MD. Obaidullah Al-Faruk, K. M. Akib Hussain, MD. Adnan Shahriar & Shakila Mahjabin Tonni

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  1. MD. Obaidullah Al-Faruk
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  2. K. M. Akib Hussain
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  3. MD. Adnan Shahriar
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  4. Shakila Mahjabin Tonni
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Corresponding author

Correspondence to MD. Obaidullah Al-Faruk.

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Al-Faruk, M.O., Hussain, K.M.A., Shahriar, M.A. et al. BFM: a forward backward string matching algorithm with improved shifting for information retrieval. Int. j. inf. tecnol. 12, 479–483 (2020). https://doi.org/10.1007/s41870-019-00371-1

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  • DOI: https://doi.org/10.1007/s41870-019-00371-1

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