Title :
Pattern discovery using k-means algorithm
Author :
Mohammed Ahmed, Almahdi ; Norwawi, Norita M. ; Ishak, Wan Hussain Wan ; Alkilany, Ahmed
Author_Institution :
Dept. of Comput. Sci., Sebha Univ. Libya, Sebha, Libya
Abstract :
Student´s placement in industry for the industrial 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 a clustering algorithm that is k-means. The data use consists of Bachelor of Information Technology and Bachelor in Multimedia students of Universiti Utara Malaysia from the year 2004 till 2005. The experiments were conducted using undirected data and directed data. The pattern extracted gave information on the previous matching process done by the university.
Keywords :
data mining; educational institutions; industrial training; pattern clustering; pattern matching; Bachelor in Multimedia; Bachelor of Information Technology; K-means algorithm; clustering algorithm; industrial training; matching process; pattern discovery; pattern extraction process; student placement; undirected data; university; Algorithm design and analysis; Clustering algorithms; Educational institutions; Government; Clustering; Data Mining; Pattern discovery; k-means;
Conference_Titel :
Computer Applications and Information Systems (WCCAIS), 2014 World Congress on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4799-3350-1
DOI :
10.1109/WCCAIS.2014.6916589
