Detecting Pattern Efficiently with Don't Cares

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this paper, we introduce our efficient simple method which can locate all occurrences of pattern P of k subpatterns with “don’t cares” of length m in text S of length n. Our algorithm employs advanced data structure and the Kangaroo method, which can be applied to selected suffixes of the suffix tree of S to answer subsequent queries in O(k) time using a predefined computational method to find all occurrences of pattern P with “don’t cares” in text S in a fast and effective manner.
Original languageEnglish
Title of host publicationProceedings of the 21st {EANN} (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the {EANN} 2020, Halkidiki, Greece, June 5-7, 2020
PublisherSpringer
Pages447--459
Volume2
Publication statusPublished - 2020

Publication series

NameProceedings of the International Neural Networks Society
PublisherSpringer
Volume2

Keywords

  • Pattern
  • Don’t cares
  • Detect

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