Výsledky vyhledávání - "Faouzi Boufarès"

Semantic Type Detection in Tabular Data via Machine Learning Using Semi-synthetic Data

Autor: Marc Chevallier, Nicoleta Rogovschi, Faouzi Boufarès, Nistor Grozavu

Publikováno v: Lecture Notes in Networks and Systems ISBN: 9783031275234

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65da54e1a622f1cabdeda99d9469b0ab
https://doi.org/10.1007/978-3-031-27524-1_12

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Trade Between Population Size and Mutation Rate for GAAM (Genetic Algorithm with Aggressive Mutation) for Feature Selection

Autor: Marc Chevallier, Nistor Grozavu, Faouzi Boufarès, Nicoleta Rogovschi, Charly Clairmont

Publikováno v: IFIP Advances in Information and Communication Technology ISBN: 9783031083327

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7dc949853404e092c580aa0e8ace07f3
https://doi.org/10.1007/978-3-031-08333-4_35

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Detecting Near Duplicate Dataset

Autor: Marc Chevallier, Nicoleta Rogovschi, Faouzi Boufarès, Nistor Grozavu, Charly Clairmont

Publikováno v: Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) ISBN: 9783030963019

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::207e3b1ebe7f5c026399b3c924b91fed
https://doi.org/10.1007/978-3-030-96302-6_36

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Seeding Initial Population, in Genetic Algorithm for Features Selection

Autor: Charly Clairmont, Nicoleta Rogovschi, Nistor Grozavu, Marc Chevallier, Faouzi Boufarès

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030736880
SoCPaR

The feature selection process is a difficult task that can be tackled by various algorithms. Our work uses a subclass of metaheuristic algorithms called genetic algorithms (GA) to select the best subset of features that has given, for a machine learn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::43d89bd63cf7d6416da22c1d05e1ec1b
https://doi.org/10.1007/978-3-030-73689-7_55

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Construction et Maintenance des Entrepôts de Données Hétérogènes

Autor: Faouzi Boufarès, Mohamed Badri

Publikováno v: Electronic Journal of Information Technology, Iss 4 (2007)

This work describes the construction of a data warehouse by the integration of heterogeneous relational and object-relational data. In fact, developing intelligent tools for the integration of information extracted from multiple heterogeneous sources

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doajarticles::46193ef6f7f09915a985aeb3f965437e
http://www.revue-eti.net/index.php/eti/article/view/41

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