1 |
Constructing Strings Avoiding Forbidden Substrings
|
|
|
|
In: CPM 2021 - 32nd Annual Symposium on Combinatorial Pattern Matching ; https://hal.inria.fr/hal-03395386 ; CPM 2021 - 32nd Annual Symposium on Combinatorial Pattern Matching, Jul 2021, Wroclaw, Poland. pp.1-18 (2021)
|
|
BASE
|
|
Show details
|
|
6 |
Bidirectional String Anchors: A New String Sampling Mechanism ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Longest Unbordered Factor in Quasilinear Time
|
|
Kociumaka, Tomasz; Kundu, Ritu; Mohamed, Manal. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018. : LIPIcs - Leibniz International Proceedings in Informatics. 29th International Symposium on Algorithms and Computation (ISAAC 2018), 2018
|
|
BASE
|
|
Show details
|
|
10 |
Longest Common Prefixes with $k$-Errors and Applications ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Efficient Index for Weighted Sequences
|
|
|
|
Abstract:
The problem of finding factors of a text string which are identical or similar to a given pattern string is a central problem in computer science. A generalised version of this problem consists in implementing an index over the text to support efficient on-line pattern queries. We study this problem in the case where the text is weighted: for every position of the text and every letter of the alphabet a probability of occurrence of this letter at this position is given. Sequences of this type, also called position weight matrices, are commonly used to represent imprecise or uncertain data. A weighted sequence may represent many different strings, each with probability of occurrence equal to the product of probabilities of its letters at subsequent positions. Given a probability threshold 1/z, we say that a pattern string P matches a weighted text at position i if the product of probabilities of the letters of P at positions i,.,i+|P|-1 in the text is at least 1/z. In this article, we present an O(nz)-time construction of an O(nz)-sized index that can answer pattern matching queries in a weighted text in optimal time improving upon the state of the art by a factor of z log z. Other applications of this data structure include an O(nz)-time construction of the weighted prefix table and an O(nz)-time computation of all covers of a weighted sequence, which improve upon the state of the art by the same factor.
|
|
Keyword:
Data processing Computer science; indexing; position weight matrix; weighted sequence; weighted suffix tree
|
|
URN:
urn:nbn:de:0030-drops-60807
|
|
URL: https://doi.org/10.4230/LIPIcs.CPM.2016.4 https://drops.dagstuhl.de/opus/volltexte/2016/6080/
|
|
BASE
|
|
Hide details
|
|
18 |
Linear-time computation of minimal absent words using suffix array
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Order-Preserving Suffix Trees and Their Algorithmic Applications ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|