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Tracer Study on AIMST University Students Using Data Mining

Tracer study is an approach which widely being used in most of the organization especially in the education institutions to track and to keep record of their students once they have graduated from the institution. Through tracer study, an institution able to evaluate the quality of education given t...

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Main Author: Damotharan, Loga Vijaindran
Format: Thesis
Language:English
English
Published: 2012
Subjects:
LG Individual institutions (Asia. Africa)
QA76 Computer software
Online Access:http://etd.uum.edu.my/2930/1/Loga_Vijaindran_Damotharan.pdf
http://etd.uum.edu.my/2930/4/Loga_Vijaindran_Damotharan.pdf
http://etd.uum.edu.my/2930/
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spelling my.uum.etd.29302016-04-27T00:57:49Z http://etd.uum.edu.my/2930/ Tracer Study on AIMST University Students Using Data Mining Damotharan, Loga Vijaindran LG Individual institutions (Asia. Africa) QA76 Computer software Tracer study is an approach which widely being used in most of the organization especially in the education institutions to track and to keep record of their students once they have graduated from the institution. Through tracer study, an institution able to evaluate the quality of education given to their graduates by knowing the graduates placements and positions in the society which later can be used as a benchmark in producing more qualified and competitive graduates. This tracer study basically focuses at one of the leading private university in the northern region of Peninsular Malaysia which known as AIMST University. This tracer study uses SPSS software as one the primary method to produce a relevant model of all the students’ enrolment as well as graduating students’ based on the data supplied by the Students and Records Division of AIMST University. However, the data supplied by the Student Admission and Records of AIMST University do contains missing values hence the data sets have to undergo cleaning process. As such CRISP methodology being applied to the datasets to ensure the data transformed into quality and usable data sets, with that the data will undergo pre processing approach. These data sets will be used in Data Mining approach in the modeling techniques to analyze the data and to identify the patterns. 2012 Thesis NonPeerReviewed text en http://etd.uum.edu.my/2930/1/Loga_Vijaindran_Damotharan.pdf text en http://etd.uum.edu.my/2930/4/Loga_Vijaindran_Damotharan.pdf Damotharan, Loga Vijaindran (2012) Tracer Study on AIMST University Students Using Data Mining. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic LG Individual institutions (Asia. Africa)
QA76 Computer software
spellingShingle LG Individual institutions (Asia. Africa)
QA76 Computer software
Damotharan, Loga Vijaindran
Tracer Study on AIMST University Students Using Data Mining
description Tracer study is an approach which widely being used in most of the organization especially in the education institutions to track and to keep record of their students once they have graduated from the institution. Through tracer study, an institution able to evaluate the quality of education given to their graduates by knowing the graduates placements and positions in the society which later can be used as a benchmark in producing more qualified and competitive graduates. This tracer study basically focuses at one of the leading private university in the northern region of Peninsular Malaysia which known as AIMST University. This tracer study uses SPSS software as one the primary method to produce a relevant model of all the students’ enrolment as well as graduating students’ based on the data supplied by the Students and Records Division of AIMST University. However, the data supplied by the Student Admission and Records of AIMST University do contains missing values hence the data sets have to undergo cleaning process. As such CRISP methodology being applied to the datasets to ensure the data transformed into quality and usable data sets, with that the data will undergo pre processing approach. These data sets will be used in Data Mining approach in the modeling techniques to analyze the data and to identify the patterns.
format Thesis
author Damotharan, Loga Vijaindran
author_facet Damotharan, Loga Vijaindran
author_sort Damotharan, Loga Vijaindran
title Tracer Study on AIMST University Students Using Data Mining
title_short Tracer Study on AIMST University Students Using Data Mining
title_full Tracer Study on AIMST University Students Using Data Mining
title_fullStr Tracer Study on AIMST University Students Using Data Mining
title_full_unstemmed Tracer Study on AIMST University Students Using Data Mining
title_sort tracer study on aimst university students using data mining
publishDate 2012
url http://etd.uum.edu.my/2930/1/Loga_Vijaindran_Damotharan.pdf
http://etd.uum.edu.my/2930/4/Loga_Vijaindran_Damotharan.pdf
http://etd.uum.edu.my/2930/
_version_ 1644276833873559552
score 13.211869

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