Browsing by Author "Bilal, Ahsan"
Bilal, Ahsan (Universitat Politècnica de Catalunya, 2018-04-26)
Covenantee: Fundació EurecatFeature 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 ...
Enabling interpretation of the outcome of a human obesity prediction machine learning analysis from genomic data Bilal, Ahsan; Vellido Alcacena, Alfredo; Ribas Ripoll, Vicent (2018)
Open AccessIn this brief paper, we address the medical problem of human obesity prediction from genomic data. Genomic datasets may contain a huge number of features and they often have to be analyzed within the realm of Big Data ...