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Conference Paper: Data mining application of decision trees for student profiling at the Open University of China

TitleData mining application of decision trees for student profiling at the Open University of China
Authors
Issue Date2014
PublisherIEEE.
Citation
The 3rd IEEE International Conference on Big Data Science and Engineering (BDSE 2014) with 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2014), Beijing, China, 24-26 September 2014. How to Cite?
AbstractWith the rapid development of distance education institution, there exists lots of educational data to be analyzed for improving online teaching. Decision tree is an effective classify algorithm in data mining. In this paper, decision tree algorithm is used to classify the students’ achievement data provided by Open University of China. The experiment result shows that student have different achievement appearances between areas, and the classify rules which can improve on-line teaching are obtained.
DescriptionBDSE Session 3 - Big Data Application
Persistent Identifierhttp://hdl.handle.net/10722/199398

 

DC FieldValueLanguage
dc.contributor.authorFok, WWTen_US
dc.contributor.authorChen, Hen_US
dc.contributor.authorYi, Jen_US
dc.contributor.authorLi, Sen_US
dc.contributor.authorAu Yeung, HHen_US
dc.contributor.authorWang, Yen_US
dc.contributor.authorLiu, F-
dc.date.accessioned2014-07-22T01:15:43Z-
dc.date.available2014-07-22T01:15:43Z-
dc.date.issued2014-
dc.identifier.citationThe 3rd IEEE International Conference on Big Data Science and Engineering (BDSE 2014) with 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2014), Beijing, China, 24-26 September 2014.en_US
dc.identifier.urihttp://hdl.handle.net/10722/199398-
dc.descriptionBDSE Session 3 - Big Data Application-
dc.description.abstractWith the rapid development of distance education institution, there exists lots of educational data to be analyzed for improving online teaching. Decision tree is an effective classify algorithm in data mining. In this paper, decision tree algorithm is used to classify the students’ achievement data provided by Open University of China. The experiment result shows that student have different achievement appearances between areas, and the classify rules which can improve on-line teaching are obtained.en_US
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofIEEE International Conference on Big Data Science and Engineeringen_US
dc.rightsIEEE International Conference on Big Data Science and Engineering. Copyright © IEEE.-
dc.titleData mining application of decision trees for student profiling at the Open University of Chinaen_US
dc.typeConference_Paperen_US
dc.identifier.emailFok, WWT: wilton@hkucc.hku.hken_US
dc.identifier.emailYi, J: alexyi@eee.hku.hken_US
dc.identifier.emailAu Yeung, HH: hoihang@hku.hk-
dc.identifier.authorityFok, WWT=rp00116en_US
dc.identifier.hkuros231839en_US
dc.publisher.placeUnited States-

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