Zobrazeno 1 - 10
of 27
pro vyhledávání: '"André Totohasina"'
Publikováno v:
Journal of Mathematics, Vol 2024 (2024)
Solving the Diophantine equation has fascinated mathematicians from various civilizations. In this paper, we propose the resolution of quadratic Diophantine equations with integer coefficients. Our contribution consists of generalizing certain result
Externí odkaz:
https://doaj.org/article/d038664592ab4d849e5587846ce3ad15
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2022 (2022)
In epidemiology, the rule of association is used to determine the factors at the origin of diseases; implicative statistical analysis is thus a necessary tool in epidemiology too. Epidemiologists have more often chosen the so-called odds ratio measur
Externí odkaz:
https://doaj.org/article/62b011b27f4843f4be43bbb5ad85352d
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2019 (2019)
In the context of binary data mining, for unifying view on probabilistic quality measures of association rules, Totohasina’s theory of normalization of quality measures of association rules primarily based on affine homeomorphism presents some draw
Externí odkaz:
https://doaj.org/article/2e81a5344f8f411bb3933d1f116e8de3
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2018 (2018)
Regarding the existence of more than sixty interestingness measures proposed in the literature since 1993 till today in the topics of association rules mining and facing the importance these last one, the research on normalization probabilistic quali
Externí odkaz:
https://doaj.org/article/524219e53eea4b22bd3d2d970426dd51
Extracting knowledge as association rule is one of the important results from data mining. His first appearance was in the domain of medicine when Shortiliff’s team had developed the MYCIN an expert system on diseases before Agrawal and his team ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9bd9e73d43f997cf58d55d01ba570b7
Autor:
Parfait, Bemarisika1, André, Totohasina1
Publikováno v:
Business Information Systems (2747-9986). 2021, p175-186. 12p.
Autor:
Bemarisika Parfait, André Totohasina
Publikováno v:
BIS
Given a large collection of transactions containing items, a basic common association rules problem is the huge size of the extracted rule set. Pruning uninteresting and redundant association rules is a promising approach to solve this problem. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92e6846ec8ab30bb849f9fd40faf6f9c
https://doi.org/10.52825/bis.v1i.40
https://doi.org/10.52825/bis.v1i.40
Publikováno v:
Proceedings of Seventh International Congress on Information and Communication Technology ISBN: 9789811923937
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7f50cd70ab5ae51e83286501105255
https://doi.org/10.1007/978-981-19-2394-4_12
https://doi.org/10.1007/978-981-19-2394-4_12
Publikováno v:
American Journal of Computational Mathematics. 10:73-89
The presence of heteroskedasticity in a considered regression model may bias the standard deviations of parameters obtained by the Ordinary Least Square (OLS) method. In this case, several hypothesis tests on the model under consideration may be bias
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93e4945f0507a0125b98d93f1ded311e
https://doi.org/10.4236/ajcm.2020.101005
https://doi.org/10.4236/ajcm.2020.101005
Autor:
Parfait Bemarisika, André Totohasina
Publikováno v:
Lecture Notes in Computer Science
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.227-247, ⟨10.1007/978-3-030-57321-8_13⟩
Lecture Notes in Computer Science ISBN: 9783030573201
CD-MAKE
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.227-247, ⟨10.1007/978-3-030-57321-8_13⟩
Lecture Notes in Computer Science ISBN: 9783030573201
CD-MAKE
International audience; Mining association rules is an important problem in Knowledge Extraction (KE). This paper proposes an efficient method for mining simultaneously informative positive and negative association rules, using a new selective pair s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20e60560f3e79ab09da937072936c40d
https://hal.inria.fr/hal-03414741
https://hal.inria.fr/hal-03414741