In this paper, we study the performance criterion of machine learning tools in classifying
breast cancer. We compare the data mining tools such as Naïve Bayes, Support vector …

In this era of computerization, education has also revamped itself and is not limited to old
lecture method. The regular quest is on to find out new ways to make it more effective and …

Many accounting firms are starting to re-align their audit processes to incorporate
technology and Audit Data Analytics (ADA), as the traditional procedures would seem to not …

Hypertension is a critical public health concern worldwide. Identification of risk factors using
traditional multivariable models has been a field of active research. The present study was …

The purpose of this study is to classify mobile payment (m-payment) users' behavior and
determine the relative importance of influencing factors by using support vector machine and …

This paper highlights the two machine learning approaches, viz. Rough Sets and Decision
Trees (DT), for the prediction of Learning Disabilities (LD) in school-age children, with an …

The various data mining techniques like classification, clustering and relationship mining
can be applied on educational data to predict the performance of a student in the …

The aims of this paper were to provide a comprehensive review of classification techniques
and their alternative approaches in data mining. Classification is a data mining technique …

Heart disease is one of the major causes of morbidity in the world. Currently, large
proportions of healthcare data are not processed properly, thus, failing to be effectively used …

Learning Disability (LD) is a neurological condition that affects a child's brain and impairs his
ability to carry out one or many specific tasks. LD affects about 15% of children enrolled in …