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Juha Karkkainen <juha.karkkainen (at) cs.helsinki.fi> | ||
Dominik Kempa (contact person) <dominik.kempa (at) gmail.com> |
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Copyright 2015-2021 Dominik Kempa, Juha Karkkainen | ||
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Permission is hereby granted, free of charge, to any person obtaining | ||
a copy of this software and associated documentation files (the | ||
"Software"), to deal in the Software without restriction, including | ||
without limitation the rights to use, copy, modify, merge, publish, | ||
distribute, sublicense, and/or sell copies of the Software, and to | ||
permit persons to whom the Software is furnished to do so, subject to | ||
the following conditions: | ||
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The above copyright notice and this permission notice shall be | ||
included in all copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, | ||
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF | ||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND | ||
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE | ||
LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION | ||
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION | ||
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
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Faster-Minuter index | ||
==================== | ||
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Description | ||
----------- | ||
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This repository contains the implementation of a wavelet tree data | ||
structure using the fixed block boosting (FBB) technique. The result | ||
of plugging this wavelet tree into an FM-index is called the Faster | ||
Minuter index. | ||
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For the description of the new wavelet tree, the Faster Minuter | ||
index, and reports of experimental evaluation, refer to the following | ||
paper. | ||
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@article{fasterminuter, | ||
author = {Simon Gog and Juha K{\"{a}}rkk{\"{a}}inen and | ||
Dominik Kempa and Matthias Petri and Simon J. Puglisi}, | ||
title = {Fixed Block Compression Boosting in FM-Indexes: | ||
Theory and Practice}, | ||
journal = {Algorithmica}, | ||
volume = {81}, | ||
number = {4}, | ||
pages = {1370--1391}, | ||
year = {2019}, | ||
doi = {10.1007/s00453-018-0475-9}, | ||
} | ||
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The latest version of the wavelet tree based on FBB is available from | ||
https://github.com/dominikkempa/faster-minuter. | ||
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Usage | ||
----- | ||
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The wavelet tree is implemented as a C++ class wt_fbb. The class is | ||
compatible with the sdsl library (https://github.com/simongog/sdsl-lite). | ||
The current version has been tested on Linux/PC. | ||
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The class comes with default parameters chosen for good overall | ||
performance and in nearly all practical scenarios should be used as | ||
is. The key customization of the class is in plugging in different | ||
bitvector implementations. The default is the hybrid bitvector, but | ||
faster (and larger) alternatives are available in the sdsl library. | ||
Refer to the paper above for details and experimental comparisons. | ||
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Terms of use | ||
------------ | ||
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wt_fbb is released under the MIT/X11 license. See the file LICENCE for | ||
more details. If you use this code, please cite the paper mentioned | ||
above. | ||
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Authors | ||
------- | ||
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wt_fbb was implemented by: | ||
- [Dominik Kempa](https://scholar.google.com/citations?user=r0Kn9IUAAAAJ) | ||
- [Juha Karkkainen](https://scholar.google.com/citations?user=oZepo1cAAAAJ) |
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