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- W4312966095 abstract "The problem of student structure prediction is very important from the viewpoint of the fundamental planning and control functions associated with this specific form of management. The purpose of this study is to present the results of an experiment involving the prediction of student structure based on the use of a machine learning solution (GANs) and compare them against real data obtained from a registry system of a European public institution of higher education in economic sciences. The research attempt provided a wealth of knowledge and insight into practical skills related to the potential application of such solutions and revealed a number of problems associated with student structure prediction tasks. The experiments revealed that – for 11 out of the 48 examined datasets – the PSI index was in excess of 75% but was decidedly lower for the remaining sets (with 18 sets assessed below the margin of 50%)." @default.
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- W4312966095 date "2022-01-01" @default.
- W4312966095 modified "2023-09-26" @default.
- W4312966095 title "Machine learning in the enrolment management process: a case study of using GANs in postgraduate students' structure prediction" @default.
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- W4312966095 doi "https://doi.org/10.1016/j.procs.2022.09.191" @default.
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