3549866
doi
10.5281/zenodo.3549866
oai:zenodo.org:3549866
Branders Vincent
UCLouvain - ICTEAM
Dupont Pierre
UCLouvain - ICTEAM
Schaus Pierre
UCLouvain - ICTEAM
Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach"
Derval Guillaume
UCLouvain - ICTEAM
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach".</p>
<p>Includes both the generated datasets as a zip archive and the python script used to generate them.</p>
<p>Each instance is composed of two files in the form</p>
<ul>
<li>XxY_K_O_0xN_AxB_Smatrix.tsv being the matrix to use. Each row on a separate line, with tab-separated cells.</li>
<li>XxY_K_O_0xN_AxB_Ssolution.txt giving the implanted solution. One submatrix per line. Then two JSON arrays follow, separated by a tabulation. The first is the list of rows selected in the submatrix, the second the columns.</li>
</ul>
<p>With:</p>
<ul>
<li>X and Y the size of the matrix</li>
<li>K the number of submatrices in the implanted solution</li>
<li>O the (minimum) overlap percentage of each submatrix</li>
<li>N the sigma used for the background noise</li>
<li>A and B the size of the implanted submatrices (subject to noise)</li>
</ul>
<p> </p>
Zenodo
2018-11-29
info:eu-repo/semantics/other
1688739
1579893962.491105
10506
md5:4008ea48e3afae4d8466fdb9b9f2f65a
https://zenodo.org/records/3549866/files/generation.py
4696358
md5:e00d2805076a00aa5515fb988fda6573
https://zenodo.org/records/3549866/files/data_small.zip
1635331852
md5:8fdc30aa0546ed2b8a520c06b4b387b4
https://zenodo.org/records/3549866/files/data.zip
public
10.5281/zenodo.1688739
isVersionOf
doi