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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
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?
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

 

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.rightsIEEE International Conference on Big Data and Cloud Computing (BdCloud). Copyright © IEEE Computer Society.-
dc.rights©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
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.naturepublished_or_final_version-
dc.identifier.doi10.1109/BDCloud.2014.98-
dc.identifier.scopuseid_2-s2.0-84924363267-
dc.identifier.hkuros243328-
dc.identifier.spage151-
dc.identifier.epage158-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 150518-

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