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

fYear

2014

fDate

17-19 Jan. 2014

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Applications and Information Systems (WCCAIS), 2014 World Congress on

Conference_Location

Hammamet

Print_ISBN

978-1-4799-3350-1

Type

conf

DOI

10.1109/WCCAIS.2014.6916589

Filename

6916589