Work

Data Mining: A prediction for Student's Performance Using Classification Method

Year: 2014

Type: article

Abstract: Currently the amount huge of data stored in educational database these database contain the useful information for predict of students performance. The most useful data mining techniques in educational database is classification. In this paper, the classification task is used to predict the final grade of students and as there are many approaches that are used for data classification, the decision tree (ID3) method is used here.

Source: World Journal of Computer Application and Technology

DOI: 10.13189/wjcat.2014.020203

Authors: Abeer Badr El Din Ahmed, Ibrahim Sayed Elaraby

Institution: Cairo Higher Institute

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W2114073252