文章基本信息

标题：Regions segmentation based on the level of development for quota allocation to graduate students for entrance to governmental universities
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作者：Alireza Aliahmadi ; Alireza Aliahmadi ; Ali Mobasseri 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2010
卷号：2
期号：2
页码：2011-2018
DOI：10.1016/j.sbspro.2010.03.273
语种：English
出版社：Elsevier
摘要：AbstractAn 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.
关键词：Data mining;cluster analysis;quota allocation to graduate students;level of development