Grammar-Compressed Indexes with Logarithmic Search Time
April 01, 2020 Β· Declared Dead Β· π Journal of computer and system sciences (Print)
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Francisco Claude, Gonzalo Navarro, Alejandro Pacheco
arXiv ID
2004.01032
Category
cs.DS: Data Structures & Algorithms
Citations
30
Venue
Journal of computer and system sciences (Print)
Last Checked
3 months ago
Abstract
Let a text $T[1..n]$ be the only string generated by a context-free grammar with $g$ (terminal and nonterminal) symbols, and of size $G$ (measured as the sum of the lengths of the right-hand sides of the rules). Such a grammar, called a grammar-compressed representation of $T$, can be encoded using essentially $G\lg g$ bits. We introduce the first grammar-compressed index that uses $O(G\lg n)$ bits and can find the $occ$ occurrences of patterns $P[1..m]$ in time $O((m^2+occ)\lg G)$. We implement the index and demonstrate its practicality in comparison with the state of the art, on highly repetitive text collections.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Data Structures & Algorithms
π
π
The Cartographer
R.I.P.
π»
Ghosted
Route Planning in Transportation Networks
R.I.P.
π»
Ghosted
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
R.I.P.
π»
Ghosted
Hierarchical Clustering: Objective Functions and Algorithms
R.I.P.
π»
Ghosted
Graph Isomorphism in Quasipolynomial Time
π
π
The Cartographer
Simulation optimization: A review of algorithms and applications
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted