Big data analytics for obesity prediction

Bilal, Ahsan

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Bilal, Ahsan

Tutor / directorVellido Alcacena, Alfredo

; Ribas Ripoll, Vicent

CovenanteeFundació Eurecat

Document typeMaster thesis

Date2018-04-26

Rights accessOpen Access

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

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.

SubjectsBig data, Machine learning, Genomics, Dades massives, Aprenentatge automàtic, Genòmica

DegreeMÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012)

URIhttp://hdl.handle.net/2117/119037

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Màsters oficials - Master in Innovation and Research in Informatics - MIRI [411]

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