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- W2085209817 endingPage "2018" @default.
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- W2085209817 abstract "Abstract An important issue in Iranian educational systems is assessing of high school graduates in the nationwide examination for entrance to governmental universities. Besides, Iran is a country with different levels of developed regions. Therefore, assigning optimum quota to graduate students of regions is a good way to help them for entrance to university. In this paper, some data mining techniques are used to determine the optimum number of segment and analysis each segment. This process helps managers to encode proper strategy to each segment and allocate proper quota to related students in regions of each segment." @default.
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- W2085209817 date "2010-01-01" @default.
- W2085209817 modified "2023-10-14" @default.
- W2085209817 title "Regions segmentation based on the level of development for quota allocation to graduate students for entrance to governmental universities" @default.
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- W2085209817 doi "https://doi.org/10.1016/j.sbspro.2010.03.273" @default.
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