Dataset Open Access

# Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach"

Derval Guillaume; Branders Vincent; Dupont Pierre; Schaus Pierre

### Dublin Core Export

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<dc:creator>Derval Guillaume</dc:creator>
<dc:creator>Branders Vincent</dc:creator>
<dc:creator>Dupont Pierre</dc:creator>
<dc:creator>Schaus Pierre</dc:creator>
<dc:date>2018-11-29</dc:date>
<dc:description>Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach".

Includes both the generated datasets as a zip archive and the python script used to generate them.

Each instance is composed of two files in the form

XxY_K_O_0xN_AxB_Smatrix.tsv being the matrix to use. Each row on a separate line, with tab-separated cells.
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.

With:

X and Y the size of the matrix
K the number of submatrices in the implanted solution
O the (minimum) overlap percentage of each submatrix
N the sigma used for the background noise
A and B the size of the implanted submatrices (subject to noise)

</dc:description>
<dc:identifier>https://zenodo.org/record/3549866</dc:identifier>
<dc:identifier>10.5281/zenodo.3549866</dc:identifier>
<dc:identifier>oai:zenodo.org:3549866</dc:identifier>
<dc:relation>doi:10.5281/zenodo.1688739</dc:relation>
<dc:relation>url:https://zenodo.org/communities/zenodo</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:title>Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach"</dc:title>
<dc:type>info:eu-repo/semantics/other</dc:type>
<dc:type>dataset</dc:type>
</oai_dc:dc>

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