Skip to main content
Journal ArticleOPEN ACCESS

Students Grade Grouping to Optimize On-Time Graduation Predictions by Combining K-Means and C4.5 Algorithms (Case Study: University Potensi Utama)

  • Riza B
Telematika (2012) 14(1) 64-73
DOI: 10.35671/telematika.v14i1.1109
N/ACitations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

…the 3. k-means method divides existing data into clusters, data that has separate or special characteristics will be combined into the same cluster, if there are data that have different characteristics, they will be combined into different clusters as well. with the resulting system, it …

Cite

CITATION STYLE

APA

Riza, B. S. (2012). Students Grade Grouping to Optimize On-Time Graduation Predictions by Combining K-Means and C4.5 Algorithms (Case Study: University Potensi Utama). Telematika, 14(1), 64–73. https://doi.org/10.35671/telematika.v14i1.1109

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free