International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
The rapid growth of the accumulation of data has created a data-rich condition but minim of information. Data mining is mining process extracting information by getting the pattern or specific rules from large amounts of data that can solve that condition. Taking advantage of student data and student graduate data expected to yield information about the relationship with a graduate rate of the student holding the data through data mining technique. The graduate rate is measured from the time of study and GPA. Data mining techniques use apriori algorithm the information displayed in the form of support and confidence values from each graduate rate category.
How to cite this article:
Setiawan Awan and Rusmawan Dadan. Graduate Rate Analysis of Student Using Data Mining and Algorithm Apriori.
DOI: https://doi.org/10.36478/ijscomp.2017.287.293
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2017.287.293