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Pattern Matching in Text Compressed by Using Antidictionaries

Yusuke ShibataContact Information, Masayuki TakedaContact Information, Ayumi ShinoharaContact Information and Setsuo ArikawaContact Information

(6)  Department of Informatics, Kyushu University 33, Fukuoka 812-8581, Japan
Abstract
In this paper we focus on the problem of compressed pattern matching for the text compression using antidictionaries, which is a new compression scheme proposed recently by Crochemore et al. (1998). We show an algorithm which preprocesses a pattern of length m and an antidictionary M in O(m 2 + ‖M‖) time, and then scans a compressed text of length n in O(n + r) time to find all pattern occurrences, where ‖M‖ is the total length of strings in M and r is the number of the pattern occurrences.

Contact Information Yusuke Shibata
Email: yusuke@i.kyushu-u.ac.jp
URL: http://www.i.kyushu-u.ac.jp

Contact Information Masayuki Takeda
Email: takeda@i.kyushu-u.ac.jp
URL: http://www.i.kyushu-u.ac.jp

Contact Information Ayumi Shinohara
Email: ayumi@i.kyushu-u.ac.jp
URL: http://www.i.kyushu-u.ac.jp

Contact Information Setsuo Arikawa
Email: arikawa@i.kyushu-u.ac.jp
URL: http://www.i.kyushu-u.ac.jp
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Referenced by
2 newer articles

  1. Crochemore, M. (2000) Data compression using antidictionaries. Proceedings of the IEEE 88(11)
    [CrossRef]
  2. Firth, Andrew (2005) A comparison of BWT approaches to string pattern matching. Software Practice and Experience 35(13)
    [CrossRef]
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