Cancer is a wide category of diseases that is caused by the abnormal, uncontrollable growth
of cells, and it is the second leading cause of death globally. Screening, early diagnosis, and …

With the popularity of Internet technology, industrial control systems (ICS) have started to
access the Internet, which significantly facilitates engineers to manage ICS remotely but also …

Maximal information coefficient (MIC) is an indicator to explore the correlation between
pairwise variables in large data sets, and the accuracy of MIC has an impact on the measure …

Objective We aimed to mine the data in the Electronic Medical Record to automatically
discover patients' Rheumatoid Arthritis disease activity at discrete rheumatology clinic visits …

Microarray gene expression data have become a topic of great interest for cancer
classification and for further research in the field of bioinformatics. Nonetheless, due to the …

Feature selection remains a popular method for quantity reduction of attributes of high-
dimensional data, to reduce computational costs in classifications. A new feature selection …

A measure of dependence is said to be equitable if it gives similar scores to equally noisy
relationships of different types. Equitability is important in data exploration when the goal is …

Abstract Background and Objective The limited number of samples and high-dimensional
features in microarray data make selecting a small number of features for disease diagnosis …

As the volume of data available for analysis grows, feature selection is becoming a vital part
of ensuring accurate classification results. In classification problems, selecting a small …

Defect prediction aims to estimate software reliability via learning from historical defect data.
A defect prediction method identifies whether a software module is defect-prone or not …