Please use this identifier to cite or link to this item: http://tailieuso.udn.vn/handle/TTHL_125/9905
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dc.contributor.authorPham, Thi Phuong Trang-
dc.date.accessioned2019-08-15T03:40:32Z-
dc.date.available2019-08-15T03:40:32Z-
dc.date.submitted2019-
dc.identifier.issn1859-1531-
dc.identifier.urihttp://tailieuso.udn.vn/handle/TTHL_125/9906-
dc.descriptionThe University of Danang, Journal of Science and Technology, No.1.2, 2019, Vol.17; PP. 62 – 64en
dc.language.isoenen
dc.publisherThe University of Danangen
dc.sourceThe University of Danangen
dc.subjectFinancial risksen
dc.subjectMachine-learning techniquesen
dc.subjectSupport vector machineen
dc.subjectDecision treeen
dc.subjectNaïve Bayesen
dc.titlePerformance evaluation of classification algorithms in financial risks predictionen
dc.title.alternativeĐánh giá các thuật toán phân loại trong việc dự đoán những rủi ro về tài chínhen
dc.typeArticleen
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2019

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