Esraa Faisal Malik

Universiti Sains Malaysia | USM · School of Management

Data mining methods have been employed successfully in several industries, including education, where they are known as educational data mining methods. Educational data mining aims to extract in-depth knowledge from raw data to build automated systems that could be used in the educational sector. With the advancement of data mining technologies, i...

One of the most challenging problems in the real-world dataset is the rising numbers of imbalanced data. The fact that the ratio of the majorities is higher than the minorities will lead to misleading results as conventional machine learning algorithms were designed on the assumption of equal class distribution. The purpose of this study is to buil...

Education is one of the important factors for the development of a country, thus, an early prediction system to predict the student performance is needed. With such system, education institutes would have a strong capacity to detect slow learners and investigate the major variables impacting their academic performance and preventing students from d...

The negative effect of financial crimes on financial institutions has grown dramatically over the years. To detect crimes such as credit card fraud, several single and hybrid machine learning approaches have been used. However, these approaches have significant limitations as no further investigation on different hybrid algorithms for a given datas...

Over the years, the negative impact of financial fraud on organizations and countries have been increasing significantly. Conventional methods such as expert's judgment are usually used to detect financial fraud. However, these methods suffer from serious drawbacks due to time consumption, human errors and high operational cost. Hence, the need for...