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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

Contributions à l'amélioration de génération des bases des règles d'association MGK-valides et applications en didactique des mathématiques

Autor: Ramanantsoa, Harrimann

The Statistical Implicative Analysis (SIA) is a very suitable tool for discovering causes and effects in discipline education research . With SIA, the analysis of our data such obtained after an experiment has shown that the simultaneous and balanced

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::c3468a79f6da29ebb7dcf113ac15a542
https://theses.hal.science/tel-02114765

Studies of Positive Integer Solutions of the Diophantine Equation x2- ay2- bx- cy- d= 0 by the Transformation Method

Autor: Fenolahy, Francklin, Ramanantsoa, Harrimann, Totohasina, André, Kocinac, Ljubisa

Publikováno v: Journal of Mathematics; 2024, Vol. 2024 Issue: 1

Machine Learning and Knowledge Extraction : Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27–30, 2018, Proceedings

Autor: Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl

This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, held in Hamburg, Germany, in September 2018.The 25 revised full pape