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Conference Paper: Cloud-based educational big data application of Apriori algorithm and K-means clustering algorithm based on students' information

TitleCloud-based educational big data application of Apriori algorithm and K-means clustering algorithm based on students' information
Authors
Yi, JLi, SWu, MAu Yeung, HHFok, WWTWang, YLiu, F
KeywordsEngineering controlled terms
Algorithms
Big data; Clouds
Education
Learning algorithms
Students
Issue Date2014
PublisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1805944
Citation
The 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014), Sydney, Australia, 3-5 December 2014. In Conference Proceedings, 2014, p. 151-158 How to Cite?
DOI: http://dx.doi.org/10.1109/BDCloud.2014.98
AbstractThe paper proposes a cloud-based framework to abstract and analyze the meaningful rules among great amount of students' raw information. The authors abstract a set of learning skills based on the course outline from The Open University of China. The authors also present a cloud-based Apriori association algorithm to abstract the rules, followed by a reasonable analysis on educational aspect supported by cloud-based k-means clustering algorithm and learning skills identification. © 2014 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/209918
ISBN
978-1-4799-6719-3
ISI Accession Number ID
WOS:000380451500021

 

DC FieldValueLanguage
dc.contributor.authorYi, J-
dc.contributor.authorLi, S-
dc.contributor.authorWu, M-
dc.contributor.authorAu Yeung, HH-
dc.contributor.authorFok, WWT-
dc.contributor.authorWang, Y-
dc.contributor.authorLiu, F-
dc.date.accessioned2015-05-18T03:30:34Z-
dc.date.available2015-05-18T03:30:34Z-
dc.date.issued2014-
dc.identifier.citationThe 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014), Sydney, Australia, 3-5 December 2014. In Conference Proceedings, 2014, p. 151-158-
dc.identifier.isbn978-1-4799-6719-3-
dc.identifier.urihttp://hdl.handle.net/10722/209918-
dc.description.abstractThe paper proposes a cloud-based framework to abstract and analyze the meaningful rules among great amount of students' raw information. The authors abstract a set of learning skills based on the course outline from The Open University of China. The authors also present a cloud-based Apriori association algorithm to abstract the rules, followed by a reasonable analysis on educational aspect supported by cloud-based k-means clustering algorithm and learning skills identification. © 2014 IEEE.-
dc.languageeng-
dc.publisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1805944-
dc.relation.ispartofIEEE International Conference on Big Data and Cloud Computing (BdCloud)-
dc.subjectEngineering controlled terms-
dc.subjectAlgorithms-
dc.subjectBig data; Clouds-
dc.subjectEducation-
dc.subjectLearning algorithms-
dc.subjectStudents-
dc.titleCloud-based educational big data application of Apriori algorithm and K-means clustering algorithm based on students' information-
dc.typeConference_Paper-
dc.identifier.emailYi, J: alexyi@eee.hku.hk-
dc.identifier.emailWu, M: maomao@hku.hk-
dc.identifier.emailAu Yeung, HH: hoihang@hku.hk-
dc.identifier.emailFok, WWT: wilton@hkucc.hku.hk-
dc.identifier.authorityFok, WWT=rp00116-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/BDCloud.2014.98-
dc.identifier.scopuseid_2-s2.0-84924363267-
dc.identifier.hkuros243328-
dc.identifier.spage151-
dc.identifier.epage158-
dc.identifier.isiWOS:000380451500021-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 150518-

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