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Conference Paper: The application and research of text mining in relevance about choosing course and research project by graduate student

TitleThe application and research of text mining in relevance about choosing course and research project by graduate student
Authors
KeywordsText clustering
Association rules
Relevant
Text mining
Issue Date2009
Citation
NCM 2009 - 5th International Joint Conference on INC, IMS, and IDC, 2009, p. 1469-1472 How to Cite?
AbstractAt present, graduate students need choose some courses by themselves, which had some blindness. The paper put forward a suit of text mining algorithms based on association rule. The algorithms were used in studying relevance between choosing course and research project, which could provide some reference for graduate students. At first, the scheme of computing words' relevant degree was put forward and the words' relevant degree could be gotten. Then a similarity calculation algorithm based on parallel architecture was brought forward, and the words' relevant degree was used in similarity calculation algorithm, the similarity between two documents could be gotten. Using digital library as experiment platform, a series of algorithms were used to mine the documents similarity between courses and research project, so the course sequence correlated with research project could finally be gotten. Experiment showed that the scheme had some reference and use value. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/265464

 

DC FieldValueLanguage
dc.contributor.authorWang, Qin-
dc.contributor.authorDong, Caiyun-
dc.contributor.authorQu, Shou Ning-
dc.contributor.authorLiu, Kui-
dc.date.accessioned2018-12-03T01:20:44Z-
dc.date.available2018-12-03T01:20:44Z-
dc.date.issued2009-
dc.identifier.citationNCM 2009 - 5th International Joint Conference on INC, IMS, and IDC, 2009, p. 1469-1472-
dc.identifier.urihttp://hdl.handle.net/10722/265464-
dc.description.abstractAt present, graduate students need choose some courses by themselves, which had some blindness. The paper put forward a suit of text mining algorithms based on association rule. The algorithms were used in studying relevance between choosing course and research project, which could provide some reference for graduate students. At first, the scheme of computing words' relevant degree was put forward and the words' relevant degree could be gotten. Then a similarity calculation algorithm based on parallel architecture was brought forward, and the words' relevant degree was used in similarity calculation algorithm, the similarity between two documents could be gotten. Using digital library as experiment platform, a series of algorithms were used to mine the documents similarity between courses and research project, so the course sequence correlated with research project could finally be gotten. Experiment showed that the scheme had some reference and use value. © 2009 IEEE.-
dc.languageeng-
dc.relation.ispartofNCM 2009 - 5th International Joint Conference on INC, IMS, and IDC-
dc.subjectText clustering-
dc.subjectAssociation rules-
dc.subjectRelevant-
dc.subjectText mining-
dc.titleThe application and research of text mining in relevance about choosing course and research project by graduate student-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/NCM.2009.157-
dc.identifier.scopuseid_2-s2.0-73549104825-
dc.identifier.spage1469-
dc.identifier.epage1472-

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