Technologies have driven big data collection across many fields, such as genomics and
business intelligence. This results in a significant increase in variables and data points …

Evolutionary polynomial regression (EPR) is a data mining tool that has been widely used in
solving various geotechnical engineering problems. The fitness function is the core of EPR …

Data mining (DM) involves the process of identifying patterns, correlation, and anomalies
existing in massive datasets. The applicability of DM includes several areas such as …

Abstract Attenuated Total Reflectance Infrared spectroscopy (ATR-IR) enables rapid,
preparation-free and cost-effective analysis of many clinically relevant samples. For …

We suggest a revised form of a classic measure function to be employed in the optimization
model of the nonnegative matrix factorization problem. More exactly, using sparse matrix …

The analysis of the high-dimensional dataset when the number of explanatory variables is
greater than the observations using classical regression approaches is not applicable and …

In many applications, indexing of high-dimensional data has become increasingly important.
High-dimensional data is characterized by multiple dimensions. There can be thousands, if …

In this paper, we introduce a novel matrix decomposition method, referred to as the\(D\)-
decomposition, designed to improve computational efficiency and stability for solving high …

We suggest a modified version of the nonnegative matrix factorization problem, adding
penalty terms to the model with the aim of taking control of the condition number of the …

High-dimensional problems involve datasets or models characterized by a substantial
number of variables or parameters prevalent across various domains such as statistics …