Student’s Performance: A Data Mining Perspective - Couverture souple

Shaukat, Kamran; Aslam; Usman Shaukat

 
9786202024013: Student’s Performance: A Data Mining Perspective
Couverture souple
ISBN 10 : 6202024011 ISBN 13 : 9786202024013
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
6202024011
ISBN 13 
9786202024013
Reliure
Broché
Nombre de pages
56
Coordonnées du fabricant
non disponible
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