Analysis of the Enhanced Boyer-Moore Search Algorithm for a Desktop PC Search Engine

Authors

  • Lorlyn S. Sernicula College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Melinda L. Manalo College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Gryam Abner M. Niebre College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Rajean C. Anastacio College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Jhona P. Alagos College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Jason P. Sermeno College of Computer Studies, University of Antique, Sibalom, Antique, Philippines

DOI:

https://doi.org/10.69478/JITC2023v5n2a05

Abstract

In the digital era, the volume of digital contents stored on personal computers has been rapidly and continuously increasing. Finding documents among this bulk of files has become tedious and stressful. In this regard, string searching and pattern matching algorithms must be employed to alleviate the performance of search engines, making it easier to find the desired documents. This paper aims to analyze the performance of an enhanced Boyer-Moore (BM) search algorithm to assist in finding the intended information or files. A series of tests have been conducted in order to compare the enhanced BM algorithm with the traditional BM algorithm. The results have shown that the Enhanced Boyer-Moore Algorithm performed the search and managed to speed up the searching process by reducing the time duration and the accuracy of the overall performance as the input text increased.

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Published

2023-12-30

How to Cite

Analysis of the Enhanced Boyer-Moore Search Algorithm for a Desktop PC Search Engine. (2023). Journal of Innovative Technology Convergence, 5(2). https://doi.org/10.69478/JITC2023v5n2a05