Skip to Main content Skip to Navigation
Conference papers

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
Document type :
Conference papers
Complete list of metadata
https://hal.univ-reunion.fr/hal-01910860
Contributor : Réunion Univ <>
Submitted on : Friday, November 2, 2018 - 6:58:17 AM
Last modification on : Monday, September 2, 2019 - 9:41:19 AM

Identifiers

  • HAL Id : hal-01910860, version 1

Collections

UNIV-REUNION | LIM | FST-REUNION

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

149