Standard of data mining CRISP-DM [articol]

Sipoteanu, Diana

Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1148

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DC Field	Value	Language
dc.contributor.author	Sipoteanu, Diana	-
dc.date.accessioned	2020-03-27T12:27:45Z	-
dc.date.accessioned	2021-03-01T08:54:53Z	-
dc.date.available	2020-03-27T12:27:45Z	-
dc.date.available	2021-03-01T08:54:53Z	-
dc.date.issued	2014	-
dc.identifier.citation	Sipoteanu, Diana. Standard of data mining CRISP-DM. Timişoara: Editura Politehnica, 2014	en_US
dc.identifier.uri	http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Standard%20of%20data%20mining%20CRISP-DM&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo	-
dc.description.abstract	The need of research studies achievement in different areas (tehnical, medical, sociological, etc) has increased giving rise to a new field called data mining. This article presents an approach over a study of 3D preception over the cogntive charge based on creating and analysis of a multidimensional questionnaire related to this topic. The questionnaire analysis was based on CRISP-DM methodology wich consist of six phases. Results were obtained by using the SAS Enterprise Guide tool options. The aim of this study was to improve the 3D perception by ilustrating 3D disadvantages.	en_US
dc.format	pdf	-
dc.language.iso	en	en_US
dc.publisher	Timișoara : Editura Politehnica	en_US
dc.relation.ispartofseries	Seria electronică şi telecomunicaţii;Vol.59(73), issue 2(2014)	-
dc.subject	Data mining	en_US
dc.subject	Questionnaire	en_US
dc.subject	Methodology	en_US
dc.title	Standard of data mining CRISP-DM [articol]	en_US
dc.type	Article	en_US
Appears in Collections:	Articole științifice/Scientific articles

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