BigStat for Big Data: Big Data clustering ...
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes
URL permanente :
Titre :
BigStat for Big Data: Big Data clustering through the BigStat SaaS platform
Auteur(s) :
Titre de la manifestation scientifique :
Journée scientifique « Big Data & Data science »
Ville :
Tunis
Pays :
Tunisie
Date de début de la manifestation scientifique :
2016-10-28
Mot(s)-clé(s) :
Model-based clustering
Mixed and missing data
High dimension statistics
SaaS platform
Mixed and missing data
High dimension statistics
SaaS platform
Discipline(s) HAL :
Statistiques [stat]/Méthodologie [stat.ME]
Résumé en anglais : [en]
BigStat is a web platform devoted to clustering of big data sets through two hosted software, MixtComp and BlockCluster. The former adresses mixed, missing and uncertain data in a moderate dimensional setting, whereas the ...
Lire la suite >BigStat is a web platform devoted to clustering of big data sets through two hosted software, MixtComp and BlockCluster. The former adresses mixed, missing and uncertain data in a moderate dimensional setting, whereas the latter is devoted to high dimensional data sets with non-mixed, non-missing and non-un certain data. Mathematical foundations of both rely on mixture models and related algorithms.Lire moins >
Lire la suite >BigStat is a web platform devoted to clustering of big data sets through two hosted software, MixtComp and BlockCluster. The former adresses mixed, missing and uncertain data in a moderate dimensional setting, whereas the latter is devoted to high dimensional data sets with non-mixed, non-missing and non-un certain data. Mathematical foundations of both rely on mixture models and related algorithms.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Date de dépôt :
2020-06-08T14:10:18Z
2020-06-09T08:30:20Z
2020-06-09T08:30:20Z
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