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Research Paper | Computer Science & Engineering | Kenya | Volume 7 Issue 5, May 2018
Students Performance Prediction Using FP-Tree Data Mining Techniques
Eliakim Ombati Akama
Abstract: Student performance is an essential part in higher learning institutions. But it has remained a challenge in predicting students performance in India due to the huge volume of student data in educational databases. There are three reasons as to why it still remains a challenge. First, lack of investigations on the factors affecting students achievements in their respective courses. Secondly, the study on the existing prediction methods is not sufficient to identify the most suitable methods for the performance of students in India. Data mining techniques can be used to find hidden patterns from these huge educational databases, which can be further used to predict the student performances. After getting the predicted result, the performance of the student can be improved by engaging with desirable assistance.
Keywords: Data mining, Data Mining Techniques, FP-Tree
Edition: Volume 7 Issue 5, May 2018,
Pages: 1409 - 1411
How to Cite this Article?
Eliakim Ombati Akama, "Students Performance Prediction Using FP-Tree Data Mining Techniques", International Journal of Science and Research (IJSR), Volume 7 Issue 5, May 2018, pp. 1409-1411, https://www.ijsr.net/get_abstract.php?paper_id=ART20182857
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