Attribute or feature selection plays an important role in the process of data mining. In general
the dataset contains more number of attributes. But in the process of effective classification …

The main aim of all the educational organizations is to improve the quality of education and
elevate the academic performance of students. Educational Data Mining (EDM) is a growing …

Feature selection is a procedure in machine learning to find a subset of features that help to
know the most important features of the data set for model construction. It removes irrelevant …

Student's academic performance is the main focus of all educational institutions. Educational
Data Mining (EDM) is an emerging research area help the educational institutions to …

Education data mining is an emerging stream which helps in mining academic data for
solving various types of problems. One of the problems is the selection of a proper academic …

Increasing student retention has been a common goal of many academic institutions,
especially in the university level. The negative effects of student attrition are evident to …

All educational institutions always try to investigate the learning behaviors of students and
give early prediction toward student's outcomes for interventing and improving their learning …

Environmental Sound Recognition has become a relevant application for smart cities. Such
an application, however, demands the use of trained machine learning classifiers in order to …

Educational data mining (EDM) evaluates and predicts students' performance that assists to
discover important factors affecting students' academic performance and also guides …

Purpose Due to the large-size, non-uniform transactions per day, the money laundering
detection (MLD) is a time-consuming and difficult process. The major purpose of the …