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1. Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining

Ahmed BaniMustafa

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 79-89

http://dx.doi.org/10.22042/isecure.2019.11.0.11

Abstract
  This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public ...  Read More