Title :
Prediction of Students Performance Using Frequent Pattern Tree
Author :
Patil, Priyanka Anandrao ; Mane, R.V.
Author_Institution :
Comput. Sci. & Technol. Dept., Shivaji Univ., Kolhapur, India
Abstract :
Data stored in educational database is increasing day by day. Data mining algorithms can be used to find hidden patterns from the student´s database. These patterns can be used to find academic performance of students. The main aim of this study was to determine factors that influence the student´s performance. This paper proposes Generalized Sequential Pattern mining algorithm for finding frequent patterns from student´s database and Frequent Pattern tree algorithm to build the tree based on frequent patterns. This tree can be used for predicting the student´s performance as pass or fail. Once the student is found at the risk of failure he/she can be provided guidance for performance improvement.
Keywords :
data mining; educational administrative data processing; tree data structures; data mining algorithms; data storage; educational database; failure risk; frequent pattern tree algorithm; generalized sequential pattern mining algorithm; performance improvement; student academic performance; student database; student performance prediction; Accuracy; Algorithm design and analysis; Classification algorithms; Conferences; Data mining; Databases; Prediction algorithms; Data Mining; Pattern mining algorithm; Pattern mining tree; Performance prediction;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.226
