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Data Mining for Discovering Patterns in Migration

机译:用于发现迁移模式的数据挖掘

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Nowadays, Data Mining has been successfully applied to several fields such as business administration, marketing and sales, diagnostics, manufacturing processes and astronomy. One of the areas where the use of Data Mining has not been well used is in the solution of social problems, where making effective decisions is essential to offering better social programs. In particular, this paper presents an analysis of Migration, which is an important social phenomenon that affects cultural, economic, ideological and demographic aspects of society, among others. This paper is based on an experiment with data processing and clustering analysis of demographic factors related to migration in the State of Hidalgo, Mexico. This study reveals the character and description of clusters obtained with data mining techniques. The knowledge from this characterization is potentially useful to government and social service agencies in the State of Hidalgo for the creation of specific social programs that might be device to mitigate the migration of the population.
机译:如今,数据挖掘已成功应用于若干字段,如工商管理,营销和销售,诊断,制造过程和天文学。使用数据挖掘的领域之一没有得到很好的使用,是在社会问题的解决方案中,为提供更好的社会计划做出有效的决策是必不可少的。特别是,本文提出了对移民的分析,这是影响社会的文化,经济,思想和人口方面的重要社会现象。本文基于对墨西哥国内峰值国迁移的人口因子数据处理和集群分析的实验。本研究揭示了利用数据挖掘技术获得的簇的特征和描述。这一表征的知识可能对Hidalgo国内的政府和社会服务机构有助于建立可能是可用于减轻人口迁移的特定社会计划。

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