| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 6875627 | Theoretical Computer Science | 2018 | 12 Pages | 
Abstract
												Given a string S, the compressed indexing problem is to preprocess S into a compressed representation that supports fast substring queries. The goal is to use little space relative to the compressed size of S while supporting fast queries. We present a compressed index based on the Lempel-Ziv 1977 compression scheme. We obtain the following time-space trade-offs: For constant-sized alphabets
											Keywords
												
											Related Topics
												
													Physical Sciences and Engineering
													Computer Science
													Computational Theory and Mathematics
												
											Authors
												Philip Bille, Mikko Berggren Ettienne, Inge Li Gørtz, Hjalte Wedel Vildhøj, 
											