CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second
half of the nineties and is thus about two decades old. According to many surveys and user …

According to research findings from all over the world, textbooks play an important role for
teachers in the choice of methods, content and educational goals. However, the open …

The stock market volatility during the pandemic was a challenge that affected investors'
decisions in making their investments. Machine learning was one of the options to cope with …

The application scenarios for machine learning algorithms are getting more complicated as
machine learning and real-world situations converge more and more. All fields of study have …

The use of emerging technologies such as Industry 4.0 in the digital transformation of
businesses is growing exponentially in various domains including agriculture …

Predicting academic performance is an often-required task in Higher Education field.
Development of data mining, especially educational data mining (EDM) provided algorithms …

The ability to generate data has never been as powerful as today when three quintile bytes
of data are generated daily. In the field of machine learning, a large number of algorithms …

Various machine learning algorithms are developed with an aim to create precise and
trustworthy models and extract knowledge from data sources. Deep expertise in the field of …

AbstractThe purpose of this research is to investigate the effective factors in predicting the
academic performance of undergraduate students in the classification of four classes. To …

Machine learning is an area of knowledge, which supports many of the established and
reliable techniques in Artificial intelligence. Oil and gas industry involve many sensors to …