UDG 2006 Thesis: Data Mining Applied to Analysis of Poverty Zones in Mexico


Graduate Degree Program: Master Degree in Information Technology,
Economics and Management School (CUCEA) Universidad de Guadalajara.
Student: Ayala-Lopez, Alejandro
Date: January 2006.

Introduction

This work aims to adapt a model data mining methodology, incorporating the use of a software tool freely available, to apply in the treatment of official data, taking as case study the phenomenon of poverty in households and locations in Mexico and its measurement reference year 2000.

Thesis Book

This are the first thirteen pages of Alejandro’s thesis (in spanish).