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Recommendation System in Education: An Association Rule based Approach - Couverture souple

Aher, Sunita B.

 
9783659236648: Recommendation System in Education: An Association Rule based Approach
Couverture souple
ISBN 10 : 3659236640 ISBN 13 : 9783659236648
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Course Recommendation system play an important role in Education System which recommend the best combination of courses to the student, they studies during their academics e.g. if student is interested in object oriented programming like C++ then he would like to learn the course like Java. So such Course Recommendation System can recommend to new student who has recently enrolled for C++ course, the Java as a course to be opted. In this book, we have used MOODLE as a free learning management system which is used to collect the data from student regarding their subject choices. Here we find the best combination of courses after collecting the data from MOODLE using Open source data mining tool Weka. We prepare the data obtained from MOODLE & check the result using Apriori association rule algorithm. We finally compare the result before & after data preparation to predict the best combination of the courses which will lead to more effective learning in a particular stream & compare the result with existing available algorithms in open source data mining tool, Weka.

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

Présentation de l'éditeur

Course Recommendation system play an important role in Education System which recommend the best combination of courses to the student, they studies during their academics e.g. if student is interested in object oriented programming like C++ then he would like to learn the course like Java. So such Course Recommendation System can recommend to new student who has recently enrolled for C++ course, the Java as a course to be opted. In this book, we have used MOODLE as a free learning management system which is used to collect the data from student regarding their subject choices. Here we find the best combination of courses after collecting the data from MOODLE using Open source data mining tool Weka. We prepare the data obtained from MOODLE & check the result using Apriori association rule algorithm. We finally compare the result before & after data preparation to predict the best combination of the courses which will lead to more effective learning in a particular stream & compare the result with existing available algorithms in open source data mining tool, Weka.

Biographie de l'auteur

Sunita B. Aher has received the BE(CSE)in 2000 from Amravati University & the ME(CSE) in 2012 from Solapur University,Maharashtra,India.She has worked over 10 years as faculty in CSE & ITDept. She has published 20+ papers in International Journal,Conference,IEEE Explore,Springer & ACM Digital Library.

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
2012
Langue
anglais
ISBN 10 
3659236640
ISBN 13 
9783659236648
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
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