Dealing with learning concepts via support vector machines

dc.contributor.author Korhan Günel
dc.contributor.author Rifat Aşliyan
dc.contributor.author Mehmet Kurt
dc.contributor.author Refet Polat
dc.contributor.author Turgut Ozis
dc.contributor.author Özis, Turgut
dc.contributor.author Kurt, Mehmet
dc.contributor.author Aşliyan, Rifat
dc.contributor.author Polat, Refet
dc.contributor.author Günel, Korhan
dc.date.accessioned 2025-10-06T17:52:34Z
dc.date.issued 2014
dc.description.abstract Extracting learning concepts is one of the major problems of artificial intelligence on education. Essentially the determination of learning concepts within an educational content has some differences as compared with keyword or technical term extraction process. However the problem can still taught as a classification problem notwithstanding. In this paper we examine how to handle the extraction of learning concepts using support vector machines as a supervised learning algorithm and we evaluate the performance of the proposed approach using f-measure. © Springer-Verlag Berlin Heidelberg 2014. © 2016 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1007/978-3-642-40078-0_5
dc.identifier.isbn 9789819680023, 9789819658473, 9789819600571, 9789819644292, 9789819637577, 9783319030135, 9783642363283, 9789819648115, 9783642384653, 9789819920914
dc.identifier.isbn 9783642400773
dc.identifier.issn 18761119, 18761100
dc.identifier.issn 1876-1100
dc.identifier.scopus 2-s2.0-84958542510
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958542510&doi=10.1007%2F978-3-642-40078-0_5&partnerID=40&md5=b8919a85975c75c590b674cc416f934c
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/10009
dc.identifier.uri https://doi.org/10.1007/978-3-642-40078-0_5
dc.language.iso English
dc.publisher Springer Verlag service@springer.de
dc.relation.ispartof 7th International Conference on Management Science and Engineering Management ICMSEM 2013
dc.rights info:eu-repo/semantics/closedAccess
dc.source Lecture Notes in Electrical Engineering
dc.subject Classification, Intelligent Tutoring Systems, Machine Learning, Support Vector Machines, Text Mining, Artificial Intelligence, Classification (of Information), Computer Aided Instruction, Data Mining, Information Technology, Learning Algorithms, Learning Systems, Management Science, Text Processing, Educational Contents, F-measure, Intelligent Tutoring System, Technical Terms, Text Mining, Support Vector Machines
dc.subject Artificial intelligence, Classification (of information), Computer aided instruction, Data mining, Information technology, Learning algorithms, Learning systems, Management science, Text processing, Educational contents, F-measure, Intelligent tutoring system, Technical terms, Text mining, Support vector machines
dc.subject Text Mining
dc.subject Support Vector Machines
dc.subject Classification
dc.subject Machine Learning
dc.subject Intelligent Tutoring Systems
dc.title Dealing with learning concepts via support vector machines
dc.type Conference Object
dspace.entity.type Publication
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gdc.description.departmenttemp [Günel K.] Department of Mathematics, Adnan Menderes University, Aydin 09020, Turkey; [Aşliyan R.] Department of Mathematics, Adnan Menderes University, Aydin 09020, Turkey; [Kurt M.] Department of Mathematics and Computer Science, Izmir University, Uckuyular-Izmir 35350, Turkey; [Polat R.] Department of Mathematics, Yaşar University, Bornova-Izmir 35100, Turkey; [Özis T.] Department of Mathematics, Ege University, Bornova-Izmir 35100, Turkey
gdc.description.endpage 71
gdc.description.issue VOL. 1
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 61
gdc.description.volume 241 LNEE
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gdc.oaire.keywords Text mining
gdc.oaire.keywords Support Vector Machines
gdc.oaire.keywords Machine learning
gdc.oaire.keywords Classification
gdc.oaire.keywords Intelligent tutoring systems
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gdc.virtual.author Polat, Refet
oaire.citation.endPage 71
oaire.citation.startPage 61
person.identifier.scopus-author-id Günel- Korhan (23396908400), Aşliyan- Rifat (16229464000), Kurt- Mehmet (56363320100), Polat- Refet (54401461400), Ozis- Turgut (55939079700)
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