Inferring latent user attributes in streams on multimodal social data using spark
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.
| Autor: | |
|---|---|
| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099.1/26055 |
| Acceso en línea: | https://hdl.handle.net/2099.1/26055 |
| Access Level: | acceso abierto |
| Palabra clave: | Big data Apache Spark Spark Naive Bayes SVM Logistic Regression cluster MareNostrum Macrodades Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació |
| Sumario: | 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. |
|---|