BigStat for Big Data: Big Data clustering ...

Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes: Conférence invitée
Title :
BigStat for Big Data: Big Data clustering through the BigStat SaaS platform
Author(s) :
Biernacki, Christophe [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
MOdel for Data Analysis and Learning [MODAL]
Conference title :
Journée scientifique « Big Data & Data science »
City :
Tunis
Country :
Tunisie
Start date of the conference :
2016-10-28
English keyword(s) :
Model-based clustering
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 ...
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Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Harvested from HAL
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