Pattern discovery using k-means algorithm

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 ext...

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Main Authors: A., Mohammed Ahmed,, W.H., Wan Ishak,, N., Md Norwawi,, A., Alkilany,
Format: Conference Paper
Language:en_US
Published: Institute of Electrical and Electronics Engineers Inc. 2015
Subjects:
Online Access:http://ddms.usim.edu.my/handle/123456789/9225
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spelling my.usim-92252015-08-26T01:32:19Z Pattern discovery using k-means algorithm A., Mohammed Ahmed, W.H., Wan Ishak, N., Md Norwawi, A., Alkilany, Clustering Data Mining k-means Pattern discovery 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. 2015-08-26T01:32:19Z 2015-08-26T01:32:19Z 2014 Conference Paper 9781-4799-3351-8 http://ddms.usim.edu.my/handle/123456789/9225 en_US Institute of Electrical and Electronics Engineers Inc.
institution Universiti Sains Islam Malaysia
building USIM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universit Sains Islam i Malaysia
content_source USIM Institutional Repository
url_provider http://ddms.usim.edu.my/
language en_US
topic Clustering
Data Mining
k-means
Pattern discovery
spellingShingle Clustering
Data Mining
k-means
Pattern discovery
A., Mohammed Ahmed,
W.H., Wan Ishak,
N., Md Norwawi,
A., Alkilany,
Pattern discovery using k-means algorithm
description 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.
format Conference Paper
author A., Mohammed Ahmed,
W.H., Wan Ishak,
N., Md Norwawi,
A., Alkilany,
author_facet A., Mohammed Ahmed,
W.H., Wan Ishak,
N., Md Norwawi,
A., Alkilany,
author_sort A., Mohammed Ahmed,
title Pattern discovery using k-means algorithm
title_short Pattern discovery using k-means algorithm
title_full Pattern discovery using k-means algorithm
title_fullStr Pattern discovery using k-means algorithm
title_full_unstemmed Pattern discovery using k-means algorithm
title_sort pattern discovery using k-means algorithm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2015
url http://ddms.usim.edu.my/handle/123456789/9225
_version_ 1645152566707748864
score 13.214268