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An Efficient Approach for Extraction Positive and Negative Association Rules from Big Data

Parfait Bemarisika 1 Harrimann Ramanantsoa André Totohasina 2
1 LIM - Laboratoire d'Informatique et de Mathématiques
2 Université d'Antananarivo
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Conference papers
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https://hal.univ-reunion.fr/hal-01910860
Contributor : Réunion Univ <>
Submitted on : Friday, November 2, 2018 - 6:58:17 AM
Last modification on : Thursday, July 1, 2021 - 3:07:39 AM

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  • HAL Id : hal-01910860, version 1

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UNIV-REUNION | LIM | FST-REUNION | AFRIQ

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Parfait Bemarisika, Harrimann Ramanantsoa, André Totohasina. An Efficient Approach for Extraction Positive and Negative Association Rules from Big Data. International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, Aug 2018, Hambourg, Germany. pp.79-97. ⟨hal-01910860⟩

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