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 dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

In the article“Web Mining: Data Mining on Web” 3 different components of Web have been described and mainly Usage has discussed in detail analyzed with examples. The general theme article is clarified by giving such sub-topics: Difficulties analyzing data from Internet, Stages Web-Mining, Analysis use resources (Web Mining), Server Log Files etc. General Relationships Between Categories Tasks a...

background and objectives: efficient cost management in hospitals’ pharmaceutical inventories have thepotential to remarkably contribute to optimization of overall hospital expenditures. to this end, reliable forecasting models for accurate prediction of future pharmaceutical demands are instrumental. while the linear methods are frequently used for forecasting purposes chiefly due to their sim...

<p>The main purpose of this research paper is to analyze the moodle data and identify most influencing features develop predictive model. The applies a wrapper-based feature selection method called Boruta for best predicting features. Data were collected from eighty-one students who enrolled in course Human Computer Interaction (COMP341), offered by Department Science Engineering at Kathm...