Building predictive models for genomic mining requires feature selection, as an essential preliminary step to reduce the large number of variable available. Feature selection is a process to select a subset of features which is the most essential for the intended tasks such as classification,...

This article describes how data is relevant and if it can be organized, linked with other data and grouped into a cluster. Clustering is the process of organizing a given set of objects into a set of disjoint groups called clusters. There are a number of clustering algorithms like k-means,...

The main purpose of this research was to find relations between the chemical composition of the wines and the wine testers' opinions on the wine quality. We used in our study a dataset which contains examples of red wine from Vinho Verde, Portugal. Firstly, we did an analysis on the attributes...

The objective of this study is to discover the influencing factors of groups by gender and age and the expenses related to bronchial and pulmonary cancer for insight into the root of the problem. An aging population has generated huge expenditures in cancer care. This study proposed a two-stage...