Title :
Identifying student and organization matching pattern using Apriori algorithm for practicum placement
Author :
Ahmed, Almahdi Mohammed ; Norwawi, Norita Md ; Ishak, Wan Hussain Wan
Author_Institution :
Coll. of Arts & Sci., Univ. Utara Malaysia, Sintok, Malaysia
Abstract :
Student´s placement in industry for the practicum training is difficult due to the large number of students and organizations involved. Further the matching process is complex due to the various criteria set by the organization and students. This paper will discuss the results of a pattern extraction process using association rules of data mining technique where a priori algorithm was chosen. The data use consists of Bachelor of Information Technology and Bachelor in Multimedia students of University Utara Malaysia from the year 2004 till 2005. Two experiments were conducted using undirected data and directed data. The pattern extracted gave information on the previous matching process done by University -Industry Linkage Centre of University Utara Malaysia.
Keywords :
data mining; educational administrative data processing; pattern matching; a priori algorithm; association rules technique; data mining technique; organization matching pattern process; pattern extraction process; practicum placement; student placement; Association rules; Data mining; Economic forecasting; Educational institutions; Industrial training; Informatics; Information technology; Multimedia systems; Pattern matching; Predictive models; Data mining; KDD; apriori algorithm; association rules;
Conference_Titel :
Electrical Engineering and Informatics, 2009. ICEEI '09. International Conference on
Conference_Location :
Selangor
Print_ISBN :
978-1-4244-4913-2
DOI :
10.1109/ICEEI.2009.5254821
