dc.contributor | Vellido Alcacena, Alfredo |
dc.contributor | Ribas Ripoll, Vicent |
dc.contributor.author | Bilal, Ahsan |
dc.date.accessioned | 2018-07-06T09:18:56Z |
dc.date.available | 2018-07-06T09:18:56Z |
dc.date.issued | 2018-04-26 |
dc.identifier.uri | http://hdl.handle.net/2117/119037 |
dc.description.abstract | Feature selection is an important technique to find the most relevant features. Apache Spark is a big data processing framework but unable to cope with approx. 0.74 million features in our Obesity dataset. However, we tackle this challenge in 2-phase pipeline. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Big data |
dc.subject.lcsh | Machine learning |
dc.subject.lcsh | Genomics |
dc.subject.other | Obesity Prediction |
dc.subject.other | Feature Selection |
dc.subject.other | Apache Spark |
dc.subject.other | Genomic Data |
dc.subject.other | SNPs |
dc.title | Big data analytics for obesity prediction |
dc.title.alternative | Big data analytics in healt |
dc.type | Master thesis |
dc.subject.lemac | Dades massives |
dc.subject.lemac | Aprenentatge automàtic |
dc.subject.lemac | Genòmica |
dc.identifier.slug | 131677 |
dc.rights.access | Open Access |
dc.date.updated | 2018-04-30T04:01:34Z |
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) |
dc.contributor.covenantee | Fundació Eurecat |