Fast q-gram mining on SLP compressed strings

Keisuke Goto, Hideo Bannai, Shunsuke Inenaga, Masayuki Takeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

We present simple and efficient algorithms for calculating q-gram frequencies on strings represented in compressed form, namely, as a straight line program (SLP). Given an SLP of size n that represents string T, we present an O(qn) time and space algorithm that computes the occurrence frequencies of all q-grams in T. Computational experiments show that our algorithm and its variation are practical for small q, actually running faster on various real string data, compared to algorithms that work on the uncompressed text. We also discuss applications in data mining and classification of string data, for which our algorithms can be useful.

Original languageEnglish
Title of host publicationString Processing and Information Retrieval - 18th International Symposium, SPIRE 2011, Proceedings
Pages278-289
Number of pages12
DOIs
Publication statusPublished - 2011
Event18th International Symposium on String Processing and Information Retrieval, SPIRE 2011 - Pisa, Italy
Duration: Oct 17 2011Oct 21 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7024 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Symposium on String Processing and Information Retrieval, SPIRE 2011
CountryItaly
CityPisa
Period10/17/1110/21/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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