Please use this identifier to cite or link to this item: http://thuvienlamdong.org.vn:81/handle/DL_134679/65854
DC FieldValueLanguage
dc.contributor.authorVũ, Diệp Anh
dc.date.accessioned2023-12-27T02:11:42Z-
dc.date.available2023-12-27T02:11:42Z-
dc.date.issued2022
dc.identifier.urihttps://sti.vista.gov.vn/tw/Pages/tai-lieu-khcn.aspx?ItemID=345417en
dc.identifier.urihttp://thuvienlamdong.org.vn:81/handle/DL_134679/65854-
dc.language.isovien
dc.relation.ispartofseriesTạp chí Công thương - 2022 - no.12 - tr.96-102 - ISSN.0866-7756en
dc.subjectTạp chí Công thươngen
dc.titleỨng dụng mô hình Random Forest để dự báo giá quặng sắt thế giới = Using Random Forest model to forecast global iron ore priceen
dc.typeArticleen
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCó toàn văn-
item.languageiso639-1vi-
item.openairetypeArticle-
item.grantfulltextrestricted-
item.cerifentitytypePublications-
Appears in Collections:Báo - Tạp chí
Files in This Item:
File SizeFormat Existing users please Login
CVv146S122022096.pdf978.06 kBAdobe PDF
Show simple item record

CORE Recommender

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.