@inproceedings{Borgelt2004Advan-5431,
  year={2004},
  title={Advanced Pruning Strategies to Speed Up Mining Closed Molecular Fragments},
  publisher={IEEE Operations Center},
  booktitle={2004 IEEE International Conference on Systems, Man & Cybernetics, The Hague, Netherlands, 10 - 13 October 2004},
  pages={4565--4570},
  author={Borgelt, Christian and Meinl, Thorsten and Berthold, Michael R.}
}

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    <dc:creator>Berthold, Michael R.</dc:creator>
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    <dc:creator>Meinl, Thorsten</dc:creator>
    <dcterms:bibliographicCitation>First publ. in: 2004 IEEE International Conference on Systems, Man &amp; Cybernetics, The Hague, Netherlands, 10 - 13 October 2004. Piscataway, NJ : IEEE Operations Center, 2004, pp. 4565-4570</dcterms:bibliographicCitation>
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    <dc:contributor>Meinl, Thorsten</dc:contributor>
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    <dcterms:title>Advanced Pruning Strategies to Speed Up Mining Closed Molecular Fragments</dcterms:title>
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    <dcterms:abstract xml:lang="eng">In recent years several algorithms for mining frequent subgraphs in graph databases have been proposed, with a major application area being the discovery of frequent substructures of biomolecules. Unfortunately, most of these algorithms still struggle with fairly long execution times if larger substructures or molecular fragments are desired. In this paper we describe two advanced pruning strategies   equivalent sibling pruning and perfect extension pruning   that can be used to speed up the MoFa algorithm (introduced in [2]) in the search for closed molecular fragments, as we demonstrate with experiments on the NCI s HIV database.</dcterms:abstract>
    <dc:contributor>Borgelt, Christian</dc:contributor>
    <dc:creator>Borgelt, Christian</dc:creator>
    <dc:contributor>Berthold, Michael R.</dc:contributor>
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