License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.STACS.2018.38
URN: urn:nbn:de:0030-drops-85064
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8506/
Gourdel, Garance ;
Kociumaka, Tomasz ;
Radoszewski, Jakub ;
Rytter, Wojciech ;
Shur, Arseny ;
Walen, Tomasz
String Periods in the Order-Preserving Model
Abstract
The order-preserving model (op-model, in short) was introduced quite recently but has already attracted significant attention because of its applications in data analysis. We introduce several types of periods in this setting (op-periods). Then we give algorithms to compute these periods in time O(n), O(n log log n), O(n log^2 log n/log log log n), O(n log n) depending on the type of periodicity. In the most general variant the number of different periods can be as big as Omega(n^2), and a compact representation is needed. Our algorithms require novel combinatorial insight into the properties of such periods.
BibTeX - Entry
@InProceedings{gourdel_et_al:LIPIcs:2018:8506,
author = {Garance Gourdel and Tomasz Kociumaka and Jakub Radoszewski and Wojciech Rytter and Arseny Shur and Tomasz Walen},
title = {{String Periods in the Order-Preserving Model}},
booktitle = {35th Symposium on Theoretical Aspects of Computer Science (STACS 2018)},
pages = {38:1--38:16},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-062-0},
ISSN = {1868-8969},
year = {2018},
volume = {96},
editor = {Rolf Niedermeier and Brigitte Vall{\'e}e},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/8506},
URN = {urn:nbn:de:0030-drops-85064},
doi = {10.4230/LIPIcs.STACS.2018.38},
annote = {Keywords: order-preserving pattern matching, period, efficient algorithm}
}
Keywords: |
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order-preserving pattern matching, period, efficient algorithm |
Collection: |
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35th Symposium on Theoretical Aspects of Computer Science (STACS 2018) |
Issue Date: |
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2018 |
Date of publication: |
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27.02.2018 |