Dataset Open Access
Derval Guillaume;
Branders Vincent;
Dupont Pierre;
Schaus Pierre
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <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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