An ensemble model has been proposed in this work by combining the extreme gradient
boosting classification (XGBoost) model with support vector machine (SVM) for land use and …

Aiming to monitor wear condition of milling cutters in time and provide tool change decisions
to ensure manufacturing safety and product quality, a tool wear monitoring model based on …

This article is a review on attributes, models and tools used to solve the problem of
predicting students' academic performance. Based on the reference throughout 2009, the …

In recent years, with the rapid development of big data technology, more and more data are
continuously generated with the summary of university systems. Therefore, how to use these …

In this chapter, the data mining method in the field of education will be examined, an
emerging technology. In this study, studies conducted since 2011 using data mining method …

In the educational institutions, research on educational data is on demand due to its
predictive power and decision-making process using machine learning approach. The …