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Conference Papers Year : 2010

PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns

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Abstract

Gradual patterns highlight complex order correlations of the form "The more/less X, the more/less Y". Only recently algorithms have appeared to mine efficiently gradual rules. However, due to the complexity of mining gradual rules, these algorithms cannot yet scale on huge real world datasets. In this paper, we propose to exploit parallelism in order to enhance the performances of the fastest existing one (GRITE). Through a detailed experimental study, we show that our parallel algorithm scales very well with the number of cores available.
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hal-00788890 , version 1 (07-10-2019)

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Anne Laurent, Benjamin Negrevergne, Nicolas Sicard, Alexandre Termier. PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns. DASFAA: Database Systems for Advanced Applications, Apr 2010, Tsukuba, Japan. pp.78-84, ⟨10.1007/978-3-642-12026-8_8⟩. ⟨hal-00788890⟩
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