An Informative Base of Positive and Negative Association Rules on Big Data

Autor: Totohasina André, Bemarisika Parfait

Publikováno v: IEEE BigData

The concept of informative base for association rules is the subject of many approaches. However, these approaches are based on positive rules but not on negative rules, and this with the less selective support-confidence pair. So that, these positiv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::79971ddd0168de3c7e7f6484f1e28355
https://doi.org/10.1109/bigdata47090.2019.9005955

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

Autor: Bemarisika Parfait, Ramanantsoa Harrimann, Totohasina André

Publikováno v: Lecture Notes in Computer Science
2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2018, Hamburg, Germany. pp.79-97, ⟨10.1007/978-3-319-99740-7_6⟩
Lecture Notes in Computer Science ISBN: 9783319997391
CD-MAKE
Proceedings of the International Cross-Domain Conference for Machine Learning and Knowledge Extraction
International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018
International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, Aug 2018, Hambourg, Germany. pp.79-97

Part 1: MAKE-Main Track; International audience; Mining association rules is an significant research area in Knowledge Extraction. Although the negative association rules have notable advantages, but they are less explored in comparaison with the pos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e781c827bdba28ab8360ac4f46d18267
https://hal.inria.fr/hal-02060042/file/472936_1_En_6_Chapter.pdf

Optimisation de l'extraction des règles d'association positives et négatives

Autor: Bemarisika, Parfait, Totohasina, André

Publikováno v: Actes des 24èmes Rencontres de la Société Francophone de Classification
24èmes Rencontres de la Société Francophone de Classification
24èmes Rencontres de la Société Francophone de Classification, Société Francophone de Classification, Jun 2017, Lyon, France. pp.25-28

National audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6671a6c0c9b4d8366a26de6a29a2c8da
https://hal.univ-reunion.fr/hal-01858848

Extraction de règles d'association selon le couple support-MGK : Graphes implicatifs et Applications en didactique des mathématiques

Autor: Bemarisika, Parfait

Publikováno v: Informatique [cs]. Université d'Antananarivo, 2016. Français

In this work, we investigate the problem of mining positive and negative association rules and its applications in mathematics education. The extraction of this knowlege type is divided into two phases that are mining frequent patterns and generation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::f65959ee655982b4fa7fe2c79b34636b
https://hal.archives-ouvertes.fr/tel-01466790/document

A Novel Algorithm for Mining Negative and Positive Association Rules

Autor: Bemarisika, Parfait, Totohasina, André

Publikováno v: International Journal of Computer and Information Technology
International Journal of Computer and Information Technology, 2014, 03 (04), pp.792--798

International audience; no abstract

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1a538ee2e473ede2b52946d8e17ec91c
https://hal.univ-reunion.fr/hal-01475687