Student's Performance: A Data Mining Perspective

ISBN-13: 9786202024013 / Angielski / Miękka / 2017 / 56 str.

Kamran Shaukat; Iqra Nawaz & Samreena Aslam; Sana Zaheer & Usman Shaukat

Opis

Data Mining is an emerging field used in educational purposes to improve the perceptive and learning method of students. It focuses on recognizing, extracting and calculating data associated to the learning method and improving student's performance. Mining in a learning field is known as educational information mining which is fretful with exploring latest techniques to find out knowledge from educational fields. The purpose of our study is to evaluate the performance of students by taking different attributes like academic achievements (CGPA), gender, class test grade, environment of class, Fund/Scholarships/Private etc. In our research we will use classification and clustering techniques to analyze student performance. The techniques used in our work are decision tree, Bayesian classification-mean algorithms, neural networks, naïve's bayes, Web based system and nearest neighbor methods.

O autorze

Kamran Shaukat is working as Lecturer Information Technology at University of the Punjab, Jhelum Campus. He has MS Computer Science degree with Gold Medal from Mohammad Ali Jinnah University Islamabad and BS Computer Science degree from Punjab University College of Information Technology, University of the Punjab, Lahore.