Identifying student and organization matching pattern using Apriori algorithm for practicum placement

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 extr...

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Bibliographic Details
Main Authors: Ahmed, A.M., Norwawi, N.M., Ishak, W.H.W.
Format: Conference Proceeding
Language:English
Subjects:
apriori algorithm
Association rules
Data mining
Economic forecasting
Educational institutions
Industrial training
Informatics
Information technology
KDD
Multimedia systems
Pattern matching
Predictive models
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Summary: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.
ISSN:2155-6822
2155-6830
DOI:10.1109/ICEEI.2009.5254821