• Media type: Electronic Conference Proceeding; E-Article; Text
  • Title: Streaming k-Edit Approximate Pattern Matching via String Decomposition
  • Contributor: Bhattacharya, Sudatta [Author]; Koucký, Michal [Author]
  • imprint: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2023
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.ICALP.2023.22
  • Keywords: edit distance ; Approximate pattern matching ; streaming algorithms
  • Origination:
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  • Description: In this paper we give an algorithm for streaming k-edit approximate pattern matching which uses space Õ(k²) and time Õ(k²) per arriving symbol. This improves substantially on the recent algorithm of Kociumaka, Porat and Starikovskaya [Kociumaka et al., 2022] which uses space Õ(k⁵) and time Õ(k⁸) per arriving symbol. In the k-edit approximate pattern matching problem we get a pattern P and text T and we want to identify all substrings of the text T that are at edit distance at most k from P. In the streaming version of this problem both the pattern and the text arrive in a streaming fashion symbol by symbol and after each symbol of the text we need to report whether there is a current suffix of the text with edit distance at most k from P. We measure the total space needed by the algorithm and time needed per arriving symbol.
  • Access State: Open Access