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Origami: Algorithm for Representative Orthogonal Graph Mining and Sampling

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ORIGAMI: Representative Orthogonal Graph Mining

Origami uses random walks over the graph partial order to mine a representative sample of the maximal frequent subgraph patterns. It next selects only the orthogonal representative patterns via a local clique-finding method.

Relevant Publications

  • [2008-origami:sadm] Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Jeremy Besson, and Mohammed J. Zaki. ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Statistical Analysis and Data Mining, 1(2):67–84, June 2008. doi:10.1002/sam.10004.

  • [2007-origami] Mohammad Hasan, Vineet Chaoji, Saeed Salem, Jeremy Besson, and Mohammed J. Zaki. ORIGAMI: mining representative orthogonal graph patterns. In 7th IEEE International Conference on Data Mining. October 2007.

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cd test; type make

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