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arXiv 1206.3722cs.CY
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数据采掘在HEI招生中的应用

Data Mining Application to Attract Students in HEI

Umesh Kumar Pandey, Surjeet Kumar Yadav, Saurabh Pal

摘要:

在过去的二十年里,高等教育机构(HEI)的数量突飞猛进。这导致了这些机构之间的激烈竞争,同时吸引学生进入这些机构。为使接触到学生的机构做广告的努力。同样发展和发达的两种类型的机构推出几项服务也吸引学生。大多数机构都是以自筹资金的方式开办的。所以他们总是觉得手头紧。现在每天都有许多广告方法可用。因此,由于不同的限制,机构很难通过所有模式进行广告并同时推出所有服务。本文运用支持度和置信度方法来寻找最佳的广告投放方式。

英文摘要:

In the last two decades, number of Higher Education Institutions (HEI) grows in leaps and bounds. This causes a cut throat competition among these institutions while attracting the student get admission in these institutions. To make reach up to the students institution makes effort of advertisement. Similarly developing and developed both type of institution launch several services also to attract students. Most of the institutions are opened in self finance mode. So all time they feel short hand in expenditure. Now a day a number of advertisement methods are available. So it is difficult for an institution to make advertisement through all modes and launch all services at the same time due to different constraints. In this paper we use support and confidence method to find out the best way of advertisement.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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