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

Derval Guillaume; Branders Vincent; Dupont Pierre; Schaus Pierre


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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/1688740</dc:identifier>
  <dc:identifier>10.5281/zenodo.1688740</dc:identifier>
  <dc:identifier>oai:zenodo.org:1688740</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:rights>http://creativecommons.org/licenses/by/4.0/legalcode</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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