Ensemble Learning is an algorithm that searches for the best prediction result based on
several classifier solutions which are come from different algorithms. Ensemble learning has …

For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …

Choosing a career after their studies could be more perplexing for students. Mainly for the
students in the computer science field as there are so many different positions and roles. In …

ABSTRACT A decision tree algorithm is developed for a B-School which can be used as a
strategy to identify potential placeable candidates at the time of admission itself based on …

The ability to predict the career of students can be beneficial in a huge number of different
techniques which are connected with the education structure. Student's marks and the result …

This research is focused on the development and comparison of models based on
ensemble machine learning algorithms to predict professional career development …

In the era of globalization, student placement is very challenging issue for all educational
institutions. For engineering institutions, placement is a key factor to maintain good ranking …

The aim of this study is to undertake an empirical inquiry and comparison of the
effectiveness of various classifiers with ensembles classifiers in the prediction of student …

The amount of students data in the education system databases is growing day by day, so
the knowledge taken out from these data need to be updated continuously. The training set …

In this day and age, choosing a career is hard work. Most students do not understand the
concept of work from the early stages of their lives because they lack the development and …