Compressed Suffix Trees with Full Functionality

  • Authors:
  • Kunihiko Sadakane

  • Affiliations:
  • Department of Computer Science and Communication Engineering, Kyushu University, Hakozaki 6-10-1, Higashi-ku, Fukuoka 812-8581, Japan

  • Venue:
  • Theory of Computing Systems
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

We introduce new data structures for compressed suffix trees whose size are linear in the text size. The size is measured in bits; thus they occupy only O(n log|A|) bits for a text of length n on an alphabet A. This is a remarkable improvement on current suffix trees which require O(n log n) bits. Though some components of suffix trees have been compressed, there is no linear-size data structure for suffix trees with full functionality such as computing suffix links, string-depths and lowest common ancestors. The data structure proposed in this paper is the first one that has linear size and supports all operations efficiently. Any algorithm running on a suffix tree can also be executed on our compressed suffix trees with a slight slowdown of a factor of polylog(n).