DC Field | Value | Language |
dc.contributor.author | Козуб, В. Н. | - |
dc.contributor.author | Александров, А. А. | - |
dc.date.accessioned | 2016-06-01T10:55:38Z | - |
dc.date.accessioned | 2017-07-17T12:15:12Z | - |
dc.date.available | 2016-06-01T10:55:38Z | - |
dc.date.available | 2017-07-17T12:15:12Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Kozub, V. Application of ibm watson for the best speciality option prediction for prospective students / V. Kozub, A. Alexandrov // Компьютерные системы и сети : материалы 52-й научной конференции аспирантов, магистрантов и студентов, Минск, 25–30 апреля 2016 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: В. А. Прытков [и др.]. – Минск, 2016. – С. 113–114. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/7123 | - |
dc.description.abstract | This paper investigates a problem of choosing a speciality by prospective students. Every year, it's a difficult problem for
school graduates to choose a speciality that's the most suitable for them. Furthermore, there is a diversity of specialities and
faculties at one university to choose from. Often when choosing a speciality, prospective students don't take into account their own
personal characteristics. We‘ve developed an application in IBM Bluemix cloud that predicts the best speciality option for
prospective students of our university. The application uses IBM Watson service to get psychological characteristics of a person
and then to predict a proper speciality. In this paper, we describe the IBM Bluemix cloud platform as a service, tools and
philosophy of it by the example of the developed application. Obtained results are planned to be extended to satisfy business
needs and to search for a staff needed for a particular project at a company. | ru_RU |
dc.language.iso | ru | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.title | Application of ibm watson for the best speciality option prediction for prospective students | ru_RU |
dc.type | Article | ru_RU |
Appears in Collections: | Компьютерные системы и сети : материалы 52-й научной конференции аспирантов, магистрантов и студентов (2016)
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