NDLI: A compressed self-index using a Ziv

Content Provider	Springer Nature Link
Author	Russo, Luís M. S. Oliveira, Arlindo L.
Copyright Year	2008
Abstract	A compressed full-text self-index for a text T, of size u, is a data structure used to search for patterns P, of size m, in T, that requires reduced space, i.e. space that depends on the empirical entropy (H $_{ k }$ or H $_{0}$) of T, and is, furthermore, able to reproduce any substring of T. In this paper we present a new compressed self-index able to locate the occurrences of P in O((m + occ)log u) time, where occ is the number of occurrences. The fundamental improvement over previous LZ78 based indexes is the reduction of the search time dependency on m from O(m $^{2}$) to O(m). To achieve this result we point out the main obstacle to linear time algorithms based on LZ78 data compression and expose and explore the nature of a recurrent structure in LZ-indexes, the $${\mathcal{T}}_{78}$$ suffix tree. We show that our method is very competitive in practice by comparing it against other state of the art compressed indexes.
Starting Page	359
Ending Page	388
Page Count	30
File Format	PDF
ISSN	13864564
Journal	Information Retrieval
Volume Number	11
Issue Number	4
e-ISSN	15737659
Language	English
Publisher	Springer Netherlands
Publisher Date	2008-05-01
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Pattern matching Text indexing Data compression Compressed index Pattern Recognition Data Structures, Cryptology and Information Theory Data Mining and Knowledge Discovery Document Preparation and Text Processing Information Storage and Retrieval
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems

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