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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 6, JUNE 2015

Comparative Analysis of Decision Tree Algorithms for the Student’s Placement Prediction

Er.Paramjit kaur, Er. Kanwalpreet Singh Attwal

DOI: 10.17148/IJARCCE.2015.4686

Abstract: This proposes paper apply decision tree algorithms to predict the result of student campus placement. In this paper we also perform the comparative analysis of three decision tree algorithms (Id3,J48and random tree).In our study important classification model is generated to decide which the students might placed or non placed during campus placement process. The experiment is conducted using WEKA open source data mining tool on the real data set collected from final year students of computer engineering department of Punjabi University ,Patiala.



Keywords: Decision tree,Id3,J48,Random tree, WEKA,KDD

How to Cite:

[1] Er.Paramjit kaur, Er. Kanwalpreet Singh Attwal, “Comparative Analysis of Decision Tree Algorithms for the Student’s Placement Prediction,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4686