@inproceedings{Borgelt2005Progr-5550,
  year={2005},
  title={MoSS : A Program for Molecular Substructure Mininig},
  isbn={1-59593-210-0},
  publisher={ACM Press},
  address={New York},
  booktitle={OSDM '05 : proceedings of the 1st international workshop on open source data mining ; frequent pattern mining implementations},
  pages={6--15},
  editor={Goethals, Bart},
  author={Borgelt, Christian and Meinl, Thorsten and Berthold, Michael R.}
}

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    <dc:contributor>Borgelt, Christian</dc:contributor>
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    <dc:creator>Berthold, Michael R.</dc:creator>
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    <dc:contributor>Meinl, Thorsten</dc:contributor>
    <dcterms:abstract xml:lang="eng">Molecular substructure mining is currently an intensively studied research area. In this paper we present an implementation of an algorithm for finding frequent  substructures in a set of molecules, which may also be used to find substructures that discriminate well between a focus and a complement group. In addition to the basic algorithm, we discuss advanced pruning techniques, demonstrating their effectiveness with experiments on two publicly available molecular data sets, and briefly mention some other extensions.</dcterms:abstract>
    <dc:creator>Meinl, Thorsten</dc:creator>
    <dcterms:bibliographicCitation>First publ. in: OSDM 2005: proceedings of the First International Workshop on Open Source Data Mining / Bart Goethals ... New York : ACM Press, 2005, pp. 6-15</dcterms:bibliographicCitation>
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