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Birkholtz, L., Bastien, O., Wells, G., Grando, D., Joubert, F., Kasam, V., Zimmermann, M., Ortet, P., Jacq, N., Roy, S., Hoffmann-Apitius, M., Breton, V., Louw, A. and Maréchal, E. (2006) Integration and Mining of Malaria Molecular, Functional and Pharmacological Data: How Far Are We from a Chemogenomic Knowledge Space? arXiv:q-bio/ 0611053v1 [q-bio.QM]

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• TITLE: Data Mining of Historic Hydrogeological and Socioeconomic Data Bases of the Toluca Valley, Mexico

  AUTHORS: Oliver López-Corona, Oscar Escolero Fuentes, Eric Morales-Casique, Pablo Padilla Longoria, Tomás González Moran

  KEYWORDS: Data Mining, Economy, Data Science, Groundwater

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.8 No.4, April 29, 2016

  ABSTRACT: In this paper we used several data mining techniques to analyze the coevolution of hydrogeological and socioeconomical data for the Toluca Valley in Mexico. We found non trivial relations between two historic data bases that make clear that groundwater and economy may be much more linked than it was thought before. In particular, we found that hydrogeological data trends change during economical crisis and election years in Mexico. This shows that different macroeconomical policies implemented by several administrations have a direct impact in the way groundwater is used. We also found that hydrogoelogical data evolve in the direction of population transformation from rural to urban, which could represent a whole paradigm shift in groundwater management with profound repercussions in policy making.