Every educational institution around the globe maintain student result repository which contain information about student marks, grade in different subjects and examinations. This repository contains important hidden pattern/knowledge which can be uncovered through data mining. A decision tree classifier based on divide and conquer rules is widely used for data exploration in such repository. In this paper J48 decision tree algorithm is applied on student previous result data to build a model in the form of decision tree. This model can then predict the student final grade. This will be helpful for teacher, student and their parents to know in advance about student final predicted grade and will enable them to take preventive measure. Keywo...
In recent years, there has been a number of students who graduated late at Lubuk Alung 1st State Jun...
Due to the huge amount of data obtained from students’ academic results in most tertiary institution...
The purpose of this paper is to develop models that would enable predicting student success. These m...
Data mining techniques play an important role in data analysis. For the construction of a classifica...
Analyses data mining methods and techniques to student’s data to construct a predictive model for st...
ABSTRACT Educational data mining is used to study the data available in the educational field and ...
The overall success of educational institutions can be measured by the success of its students. Prov...
Educational Data Mining is used to study the data available in the Universities, Higher Educational ...
Because of rapid increasing of data in educational environment, educational data mining emerged to d...
BDSE Session 3 - Big Data ApplicationWith the rapid development of distance education institution, t...
This paper implements suggestion for matriculation examination result using decision tree induction ...
Informatics study program has a lot of new students who earn a high GPA semester early, but at the e...
College student as a product can be used as a reference to show the success of education. This resea...
Ibrahim of Malang is a public college in Indonesia that receives more increased quota of students ye...
We apply and evaluate a decision tree al-gorithm to university records, producing human-readable gra...
In recent years, there has been a number of students who graduated late at Lubuk Alung 1st State Jun...
Due to the huge amount of data obtained from students’ academic results in most tertiary institution...
The purpose of this paper is to develop models that would enable predicting student success. These m...
Data mining techniques play an important role in data analysis. For the construction of a classifica...
Analyses data mining methods and techniques to student’s data to construct a predictive model for st...
ABSTRACT Educational data mining is used to study the data available in the educational field and ...
The overall success of educational institutions can be measured by the success of its students. Prov...
Educational Data Mining is used to study the data available in the Universities, Higher Educational ...
Because of rapid increasing of data in educational environment, educational data mining emerged to d...
BDSE Session 3 - Big Data ApplicationWith the rapid development of distance education institution, t...
This paper implements suggestion for matriculation examination result using decision tree induction ...
Informatics study program has a lot of new students who earn a high GPA semester early, but at the e...
College student as a product can be used as a reference to show the success of education. This resea...
Ibrahim of Malang is a public college in Indonesia that receives more increased quota of students ye...
We apply and evaluate a decision tree al-gorithm to university records, producing human-readable gra...
In recent years, there has been a number of students who graduated late at Lubuk Alung 1st State Jun...
Due to the huge amount of data obtained from students’ academic results in most tertiary institution...
The purpose of this paper is to develop models that would enable predicting student success. These m...