METHODS OF ANALYSIS AND FORECASTING OF THE TOURIST MARKET OF UZBEKISTAN

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dc.creatorRayimkulovna, Berdikulova Iroda
dc.date2023-06-16
dc.date.accessioned2023-08-21T13:05:21Z
dc.date.available2023-08-21T13:05:21Z
dc.descriptionThis article presents combinational methods for analyzing and forecasting the tourism market, such as machine learning and regression analysis. Based on these combinational methods, it is possible to predict the future potential of the tourism market.en-US
dc.formatapplication/pdf
dc.identifierhttps://procedia.online/index.php/applied/article/view/772
dc.identifier.urihttp://dspace.umsida.ac.id/handle/123456789/23384
dc.languageeng
dc.publisherPROCEDIA PUBLISH GROUPen-US
dc.relationhttps://procedia.online/index.php/applied/article/view/772/682
dc.rightshttps://creativecommons.org/licenses/by/4.0en-US
dc.sourceProcedia of Theoretical and Applied Sciences ; Vol. 8 (2023): Procedia of Theoretical and Applied Sciences (2795-5621); 55-56en-US
dc.source2795-5621
dc.subjectCombinationen-US
dc.subjectmachine learning methoden-US
dc.subjectregression analysisen-US
dc.subjectforecastingen-US
dc.subjectstatistical methodsen-US
dc.subjectanalysisen-US
dc.titleMETHODS OF ANALYSIS AND FORECASTING OF THE TOURIST MARKET OF UZBEKISTANen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
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