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Data Mining for Discovering Patterns in Migration

机译:数据挖掘以发现迁移中的模式

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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商业管理,市场营销和销售,诊断,制造过程和天文学等多个领域。未能充分利用数据挖掘的领域之一是解决社会问题,做出有效决策对于提供更好的社会计划至关重要。特别是,本文对移民问题进行了分析,移民是一种重要的社会现象,会影响社会的文化,经济,思想和人口统计等方面。本文基于墨西哥伊达尔戈州与迁移相关的人口统计学数据处理和聚类分析的实验。这项研究揭示了通过数据挖掘技术获得的聚类的特征和描述。从这种表征中获得的知识可能对伊达尔戈州的政府和社会服务机构有用,可用于创建特定的社会计划,这些计划可能成为减轻人口迁移的工具。

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