Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar

Computer Science (CS) is a subject or a course for some universities. In Universiti Teknologi Mara (UiTM), CS or is known as CS230. There is a problem where it is not confirmed if the CS230's alumni work in that field or not. Hence, a research that includes gathering information of big number...

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Main Author: Muhammad Anuar, Siti Norainul Faraha
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/14595/
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author Muhammad Anuar, Siti Norainul Faraha
author_facet Muhammad Anuar, Siti Norainul Faraha
author_sort Muhammad Anuar, Siti Norainul Faraha
building UiTM Institutional Repository
collection Online Access
description Computer Science (CS) is a subject or a course for some universities. In Universiti Teknologi Mara (UiTM), CS or is known as CS230. There is a problem where it is not confirmed if the CS230's alumni work in that field or not. Hence, a research that includes gathering information of big number of important data of alumni may be done to solve the problem. The proposed system will include data gathering, data extraction, data analysis by using K-Means technique and data visualization. The extraction will be done on the data of alumni that is obtained from Office of Industry Community and Alumni Network (ICAN). The data involved is Cumulative Grade Point Average (CGPA) and employment. Then, the result will be presented as visualization or graphic. This may shows the important results clearly.
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spelling uitm-145952016-08-23T01:18:32Z https://ir.uitm.edu.my/id/eprint/14595/ Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar Muhammad Anuar, Siti Norainul Faraha Universiti Teknologi MARA Multivariate analysis. Cluster analysis. Longitudinal method Soft computing Computer Science (CS) is a subject or a course for some universities. In Universiti Teknologi Mara (UiTM), CS or is known as CS230. There is a problem where it is not confirmed if the CS230's alumni work in that field or not. Hence, a research that includes gathering information of big number of important data of alumni may be done to solve the problem. The proposed system will include data gathering, data extraction, data analysis by using K-Means technique and data visualization. The extraction will be done on the data of alumni that is obtained from Office of Industry Community and Alumni Network (ICAN). The data involved is Cumulative Grade Point Average (CGPA) and employment. Then, the result will be presented as visualization or graphic. This may shows the important results clearly. 2015 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/14595/1/TD_SITI%20NORAINUL%20FARAHA%20MUHAMMAD%20ANUAR%20CS%2015_5.pdf Muhammad Anuar, Siti Norainul Faraha (2015) Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar. (2015) Degree thesis, thesis, Universiti Teknologi MARA. <http://terminalib.uitm.edu.my/14595.pdf>
spellingShingle Universiti Teknologi MARA
Multivariate analysis. Cluster analysis. Longitudinal method
Soft computing
Muhammad Anuar, Siti Norainul Faraha
Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar
title Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar
title_full Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar
title_fullStr Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar
title_full_unstemmed Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar
title_short Clustering on CS230’s alumni data for employment using K-Means / Siti Norainul Faraha Muhammad Anuar
title_sort clustering on cs230’s alumni data for employment using k-means / siti norainul faraha muhammad anuar
topic Universiti Teknologi MARA
Multivariate analysis. Cluster analysis. Longitudinal method
Soft computing
url https://ir.uitm.edu.my/id/eprint/14595/