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Conference Paper: Data mining application of decision trees for student profiling at the Open University of China
Title | Data mining application of decision trees for student profiling at the Open University of China |
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Authors | |
Issue Date | 2014 |
Publisher | IEEE. |
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? |
Abstract | With 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. |
Description | BDSE Session 3 - Big Data Application |
Persistent Identifier | http://hdl.handle.net/10722/199398 |
DC Field | Value | Language |
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dc.contributor.author | Fok, WWT | en_US |
dc.contributor.author | Chen, H | en_US |
dc.contributor.author | Yi, J | en_US |
dc.contributor.author | Li, S | en_US |
dc.contributor.author | Au Yeung, HH | en_US |
dc.contributor.author | Wang, Y | en_US |
dc.contributor.author | Liu, F | - |
dc.date.accessioned | 2014-07-22T01:15:43Z | - |
dc.date.available | 2014-07-22T01:15:43Z | - |
dc.date.issued | 2014 | - |
dc.identifier.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. | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/199398 | - |
dc.description | BDSE Session 3 - Big Data Application | - |
dc.description.abstract | With 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.language | eng | en_US |
dc.publisher | IEEE. | - |
dc.relation.ispartof | IEEE International Conference on Big Data Science and Engineering | en_US |
dc.rights | IEEE International Conference on Big Data Science and Engineering. Copyright © IEEE. | - |
dc.title | Data mining application of decision trees for student profiling at the Open University of China | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Fok, WWT: wilton@hkucc.hku.hk | en_US |
dc.identifier.email | Yi, J: alexyi@eee.hku.hk | en_US |
dc.identifier.email | Au Yeung, HH: hoihang@hku.hk | - |
dc.identifier.authority | Fok, WWT=rp00116 | en_US |
dc.identifier.hkuros | 231839 | en_US |
dc.publisher.place | United States | - |