Title :
An education data mining tool for marketing based on C4.5 classification technique
Author :
Abaya, Sheila A. ; Gerardo, Bobby D.
Author_Institution :
Dept. of Comput. Studies & Syst., Univ. of the East, Caloocan, Philippines
Abstract :
This paper aims to classify the demographics that affect successful high school recruitment. It also aims to minimize the workload of the admission/recruitment personnel in planning school-to-school promotion without compromising the chance of recruiting more high school students. Historical data of College Entrance Test examinees is used for classification. In view of this, the researchers have developed a system based on the C4.5 decision tree algorithm to enhance the strategy of planning.
Keywords :
data mining; decision trees; educational administrative data processing; marketing data processing; pattern classification; C4.5 classification technique; C4.5 decision tree algorithm; college entrance test; demographics; education data mining tool; high school recruitment; school-to-school promotion; Classification algorithms; Data mining; Databases; Decision trees; Educational institutions; Recruitment; C4.5; classification technique; data mining; decision tree; rules;
Conference_Titel :
e-Learning and e-Technologies in Education (ICEEE), 2013 Second International Conference on
Conference_Location :
Lodz
Print_ISBN :
978-1-4673-5093-8
DOI :
10.1109/ICeLeTE.2013.6644390
