Use of K-Nearest neighbour method in analysis of student data from surveys
dc.contributor.author | Konstantinova, E. | |
dc.contributor.author | Kalchev, K. | |
dc.date.accessioned | 2022-02-10T14:02:47Z | |
dc.date.available | 2022-02-10T14:02:47Z | |
dc.date.issued | 2021 | |
dc.description | Konstantinova E. Use of K-Nearest neighbour method in analysis of student data from surveys / E. Konstantinova, K. Kalchev ; sci. advisor T. Tsankov // Black Sea Science 2021. Information Technology, Automation and Robotics : рroc. of the Intern. Competition of Student Scientific Works / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2021. – P. 435-437. – Ref.: 6 tit. | ru_RU |
dc.description.abstract | The purpose of the publication is to analyze the method K-Nearest neighbor and its application in intelligent analysis of student survey data. Examples are given based on student success and satisfaction. | ru_RU |
dc.identifier.uri | https://card-file.ontu.edu.ua/handle/123456789/19670 | |
dc.language.iso | en_US | ru_RU |
dc.subject | Educational Data Mining | ru_RU |
dc.subject | ЕDM | ru_RU |
dc.subject | K-Nearest neighbor | ru_RU |
dc.title | Use of K-Nearest neighbour method in analysis of student data from surveys | ru_RU |
dc.type | Article | ru_RU |
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