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Inferring latent user attributes in streams on multimodal social data using spark
dc.contributor | Tous Liesa, Rubén |
dc.contributor | Torres Viñals, Jordi |
dc.contributor.author | Conese, Alessio |
dc.date.accessioned | 2015-05-22T12:41:35Z |
dc.date.available | 2015-05-22T12:41:35Z |
dc.date.issued | 2015-04-29 |
dc.identifier.uri | http://hdl.handle.net/2099.1/26055 |
dc.description.abstract | The principal goal of this work can be expressed in two simple words Apache Spark; basically this framework help a developer to deal with big data. Our scope is to understand how Spark operates and use it to deal with Big Data using APIs offered for implement different classifier. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació |
dc.subject.lcsh | Big data |
dc.subject.other | Apache Spark |
dc.subject.other | Spark |
dc.subject.other | Naive Bayes |
dc.subject.other | SVM |
dc.subject.other | Logistic Regression |
dc.subject.other | cluster |
dc.subject.other | MareNostrum |
dc.title | Inferring latent user attributes in streams on multimodal social data using spark |
dc.type | Master thesis |
dc.subject.lemac | Macrodades |
dc.identifier.slug | 106115 |
dc.rights.access | Open Access |
dc.date.updated | 2015-05-01T04:00:21Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012) |