Titre : | Les techniques d’échantillonnage dans le cadre de Big Data | Type de document : | projet fin études | Auteurs : | MAJDALANE Siham, Auteur | Langues : | Français (fre) | Catégories : | BIG DATA
| Index. décimale : | mast 254/19 | Résumé : | The objective of sampling techniques is to extract a sample that has the same characteristics as the original database.
This document summarizes several ideas, on the field of Big Data and its charac- teristics, as well as the tools used for data preparation.
This report also provides a general introduction to sampling techniques, and provides a general review of the literature on the various works that have been done to test the performance and reliability of these techniques to see if the results obtained by the use of these methods can be trusted, and also discusses the contributions of these techniques to data mining, and also gives some proposals for advancing the state of the art in sampling techniques in the context of Big Data. |
Les techniques d’échantillonnage dans le cadre de Big Data [projet fin études] / MAJDALANE Siham, Auteur . - [s.d.]. Langues : Français ( fre) Catégories : | BIG DATA
| Index. décimale : | mast 254/19 | Résumé : | The objective of sampling techniques is to extract a sample that has the same characteristics as the original database.
This document summarizes several ideas, on the field of Big Data and its charac- teristics, as well as the tools used for data preparation.
This report also provides a general introduction to sampling techniques, and provides a general review of the literature on the various works that have been done to test the performance and reliability of these techniques to see if the results obtained by the use of these methods can be trusted, and also discusses the contributions of these techniques to data mining, and also gives some proposals for advancing the state of the art in sampling techniques in the context of Big Data. |
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