基于k-均值聚类的印度大学招生格局影响因素分析

Rohit Ahlawat, Sushil Sahay, S. Sabitha, Abhay Bansal
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引用次数: 7

摘要

一个国家的经济增长受到几个因素的影响,如经济制度、自然资源、社会组织、识字率、熟练人力等。高等教育在一个国家的经济发展中也扮演着重要的角色。印度教育部门拥有大量可以产生有价值信息的数据。近年来,数据挖掘技术已广泛用于教育数据,以发现有用的趋势或模式。它提供了有趣的模式,可以用来提高教育部门的整体表现。本研究工作的主要目的是借助k-means聚类技术分析印度大学的招生模式及其影响这些模式的因素。对获得的聚类进行各种案例研究分析,以提供入学趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of factors affecting enrollment pattern in Indian universities using k-means clustering
The growth of the economy of a country is affected by several factors like economic system, natural resources, social organisation, literacy rate, skilled manpower, etc. Higher education also plays an important role in the economic growth of a country. The Indian education sector has a lot of data that can produce valuable information. In recent times data mining techniques have been widely used for educational data for discovering useful trends or patterns. It provides interesting patterns which can be used to improve the overall performance of the education sector. The main objective of this research work is to analyse enrollment patterns in Indian universities and the factors affecting these patterns with the help of k-means clustering technique. The obtained clusters are analysed for various case studies to provide a trend of enrollments.
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