Data mining for discovering patterns in migration

Abstract

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.