BigStat for Big Data: Big Data clustering ...
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes
Permalink :
Title :
BigStat for Big Data: Big Data clustering through the BigStat SaaS platform
Author(s) :
Conference title :
Journée scientifique « Big Data & Data science »
City :
Tunis
Country :
Tunisie
Start date of the conference :
2016-10-28
Keyword(s) :
Model-based clustering
Mixed and missing data
High dimension statistics
SaaS platform
Mixed and missing data
High dimension statistics
SaaS platform
HAL domain(s) :
Statistiques [stat]/Méthodologie [stat.ME]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Submission date :
2020-06-08T14:10:18Z
2020-06-09T08:30:20Z
2020-06-09T08:30:20Z
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