A data mining analysis of College English Test (CET) results of Haojing College, China

The data mining technology is one of the hot issues of information technology research. Data mining has already used in many fields, such as bank, finance, insurance, and retail. But unfortunately, data mining technology is seldom used in the field of education. With the continuous enrollment of Chi...

Full description

Saved in:

Bibliographic Details
Main Author:	Chen, Dong
Format:	Thesis
Language:	English
Published:	2013
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/id/eprint/35832/5/ChenDongMFSKSM2013.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.35832
record_format	uketd_dc
spelling	my-utm-ep.358322017-07-13T03:25:51Z A data mining analysis of College English Test (CET) results of Haojing College, China 2013-06 Chen, Dong QA Mathematics The data mining technology is one of the hot issues of information technology research. Data mining has already used in many fields, such as bank, finance, insurance, and retail. But unfortunately, data mining technology is seldom used in the field of education. With the continuous enrollment of Chinese universities, more and more students go into university to study. Meanwhile, a mass of data were produced which about the students? basic information and their subject mark. There are still some deeply relationship among subject mark under cover. Using data mining technology into analysis of students? mark can find the real factors which affect their subject and then improve the teaching quality. In this paper, the theoretical knowledge of data mining was studied. Research and Application of data mining technology in student CET mark analysis is based on data mining technology research. Before the excavation, the paper established students? achievement analysis of data, and data cleaning, data conversion, data reduction, data preprocessing, processing vacancy data, the continuous-valued attribute discretization, to lay the foundation for further excavation. After comparison of various algorithms in data mining, association rules algorithm was chosen, which is suitable for student achievement analysis model Apriori algorithm to conduct students? CET mark analysis. In the final realization of the process, the relationship between CET mark and employment salary were found and also found the main factors which affect the CET mark. These finding are very useful which can improve the teaching quality. 2013-06 Thesis http://eprints.utm.my/id/eprint/35832/ http://eprints.utm.my/id/eprint/35832/5/ChenDongMFSKSM2013.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70722?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Chen, Dong A data mining analysis of College English Test (CET) results of Haojing College, China
description	The data mining technology is one of the hot issues of information technology research. Data mining has already used in many fields, such as bank, finance, insurance, and retail. But unfortunately, data mining technology is seldom used in the field of education. With the continuous enrollment of Chinese universities, more and more students go into university to study. Meanwhile, a mass of data were produced which about the students? basic information and their subject mark. There are still some deeply relationship among subject mark under cover. Using data mining technology into analysis of students? mark can find the real factors which affect their subject and then improve the teaching quality. In this paper, the theoretical knowledge of data mining was studied. Research and Application of data mining technology in student CET mark analysis is based on data mining technology research. Before the excavation, the paper established students? achievement analysis of data, and data cleaning, data conversion, data reduction, data preprocessing, processing vacancy data, the continuous-valued attribute discretization, to lay the foundation for further excavation. After comparison of various algorithms in data mining, association rules algorithm was chosen, which is suitable for student achievement analysis model Apriori algorithm to conduct students? CET mark analysis. In the final realization of the process, the relationship between CET mark and employment salary were found and also found the main factors which affect the CET mark. These finding are very useful which can improve the teaching quality.
format	Thesis
qualification_level	Master's degree
author	Chen, Dong
author_facet	Chen, Dong
author_sort	Chen, Dong
title	A data mining analysis of College English Test (CET) results of Haojing College, China
title_short	A data mining analysis of College English Test (CET) results of Haojing College, China
title_full	A data mining analysis of College English Test (CET) results of Haojing College, China
title_fullStr	A data mining analysis of College English Test (CET) results of Haojing College, China
title_full_unstemmed	A data mining analysis of College English Test (CET) results of Haojing College, China
title_sort	data mining analysis of college english test (cet) results of haojing college, china
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
url	http://eprints.utm.my/id/eprint/35832/5/ChenDongMFSKSM2013.pdf
_version_	1747816366606385152

A data mining analysis of College English Test (CET) results of Haojing College, China

Similar Items