Mining frequent sequential patterns under regular expressions: an highly adaptative strategy for pushing constraints

Abstract : This paper considers the design of adaptive pruning strategies when mining frequent sequences that satisfy regular expression constraints.
Type de document :
Communication dans un congrès
3rd SIAM International Conference on Data Mining, SDM'03, May 2003, San Francisco, United States. pp.316-320, 2003
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https://hal.archives-ouvertes.fr/hal-01593709
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Soumis le : mardi 26 septembre 2017 - 15:49:27
Dernière modification le : jeudi 19 avril 2018 - 14:38:03

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  • HAL Id : hal-01593709, version 1

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Hunor Albert-Lorincz, Jean-François Boulicaut. Mining frequent sequential patterns under regular expressions: an highly adaptative strategy for pushing constraints. 3rd SIAM International Conference on Data Mining, SDM'03, May 2003, San Francisco, United States. pp.316-320, 2003. 〈hal-01593709〉

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