R.Mumtaj Begum

Work place: Department of Computer Science, Krishnasamy college, Cuddalore, India

E-mail: tajsona25@gmail.com


Research Interests: Data Mining, Data Structures and Algorithms


Ms. R.Mumtaj Begum, Assistant Professor in the Department of Computer Science, Krishnaswamy College of Science, Arts and Management for Women, Nellikuppam, Tamil Nadu. She holds M.Phil in computer Science from St. Joseph‟s College (Autonomous), Cuddalore, India. Her research area is data mining and knowledge discovery.

Author Articles
An Analysis on Performance of Decision Tree Algorithms using Student‟s Qualitative Data

By T. Miranda Lakshmi A. Martin R.Mumtaj Begum V. Prasanna Venkatesan

DOI: https://doi.org/10.5815/ijmecs.2013.05.03, Pub. Date: 8 May 2013

Decision Tree is the most widely applied supervised classification technique. The learning and classification steps of decision tree induction are simple and fast and it can be applied to any domain. In this research student qualitative data has been taken from educational data mining and the performance analysis of the decision tree algorithm ID3, C4.5 and CART are compared. The comparison result shows that the Gini Index of CART influence information Gain Ratio of ID3 and C4.5. The classification accuracy of CART is higher when compared to ID3 and C4.5. However the difference in classification accuracy between the decision tree algorithms is not considerably higher. The experimental results of decision tree indicate that student’s performance also influenced by qualitative factors.

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