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Data science for novice students: A didactic approach to data mining using neural networks
dc.creator | Kadijević, Đorđe | |
dc.date.accessioned | 2021-03-17T13:41:16Z | |
dc.date.available | 2021-03-17T13:41:16Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1451-4966 | |
dc.identifier.uri | http://ipir.ipisr.org.rs/handle/123456789/327 | |
dc.description.abstract | This paper presents a way to introduce data science to college (business) students. To this end, data mining using neural networks may be practiced. After briefly clarifying the main differences between data science and data mining, the work with neural networks is examined in detail. The examination deals with the features and affordances of this work, as well as its expected challenges with possible reasons. The paper ends with a number of implications for practice, teacher education, and research. | en |
dc.publisher | Društvo matematičara Srbije, Beograd | |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200018/RS// | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Teaching of Mathematics | |
dc.subject | Neural networks | en |
dc.subject | data mining | en |
dc.subject | data science | en |
dc.subject | college education | en |
dc.title | Data science for novice students: A didactic approach to data mining using neural networks | en |
dc.type | article | |
dc.rights.license | BY | |
dc.citation.epage | 101 | |
dc.citation.issue | 2 | |
dc.citation.other | 23(2): 90-101 | |
dc.citation.rank | M53 | |
dc.citation.spage | 90 | |
dc.citation.volume | 23 | |
dc.identifier.fulltext | http://ipir.ipisr.org.rs/bitstream/id/734/conv_706.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_ipir_327 | |
dc.identifier.wos | 000606979400002 | |
dc.type.version | publishedVersion |