License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ITCS.2022.115
URN: urn:nbn:de:0030-drops-157116
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/15711/
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Seddighin, Masoud ; Seddighin, Saeed

3+ε Approximation of Tree Edit Distance in Truly Subquadratic Time

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LIPIcs-ITCS-2022-115.pdf (1.0 MB)


Abstract

Tree edit distance is a well-known generalization of the edit distance problem to rooted trees. In this problem, the goal is to transform a rooted tree into another rooted tree via (i) node addition, (ii) node deletion, and (iii) node relabel. In this work, we give a truly subquadratic time algorithm that approximates tree edit distance within a factor 3+ε.
Our result is obtained through a novel extension of a 3-step framework that approximates edit distance in truly subquadratic time. This framework has also been previously used to approximate longest common subsequence in subquadratic time.

BibTeX - Entry

@InProceedings{seddighin_et_al:LIPIcs.ITCS.2022.115,
  author =	{Seddighin, Masoud and Seddighin, Saeed},
  title =	{{3+\epsilon Approximation of Tree Edit Distance in Truly Subquadratic Time}},
  booktitle =	{13th Innovations in Theoretical Computer Science Conference (ITCS 2022)},
  pages =	{115:1--115:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-217-4},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{215},
  editor =	{Braverman, Mark},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/15711},
  URN =		{urn:nbn:de:0030-drops-157116},
  doi =		{10.4230/LIPIcs.ITCS.2022.115},
  annote =	{Keywords: tree edit distance, approximation, subquadratic, edit distance}
}

Keywords: tree edit distance, approximation, subquadratic, edit distance
Collection: 13th Innovations in Theoretical Computer Science Conference (ITCS 2022)
Issue Date: 2022
Date of publication: 25.01.2022


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