A Grouping Approach for Succinct Dynamic Dictionary Matching

Guy Feigenblat, Ely Porat, Ariel Shiftan

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In this work, we focus on building an efficient succinct dynamic dictionary that significantly improves the query time of the current best known results. The algorithm that we propose suffers from only a O((log log n) 2) multiplicative slowdown in its query time and a O(1ϵlogn) slowdown for insertion and deletion operations, where n is the sum of all of the patterns’ lengths, the size of the alphabet is polylog(n) and ϵ∈ (0 , 1). For general alphabet the query time is O((log log n) log σ) , where σ is the size of the alphabet. A byproduct of this paper is an Aho-Corasick automaton that can be constructed with only a compact working space, which is the first of its type to the best of our knowledge.

Original languageEnglish
Pages (from-to)134-150
Number of pages17
JournalAlgorithmica
Volume77
Issue number1
DOIs
StatePublished - 1 Jan 2017

Bibliographical note

Publisher Copyright:
© 2015, Springer Science+Business Media New York.

Keywords

  • Aho Corasick
  • Algorithms
  • Compression
  • Dictionary matching
  • Online algorithms
  • Patterns matching
  • Succinct

Fingerprint

Dive into the research topics of 'A Grouping Approach for Succinct Dynamic Dictionary Matching'. Together they form a unique fingerprint.

Cite this