Discovering Mexican Birth Rate Patterns Using Machine Learning Techniques
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2016, Vol 15, Issue 1
Abstract
In this research, we attempt to discover patterns that describe and predict the birth rate in Mexico by using data mining techniques based on relevant demographic and economic information about Mexico. More than twelve million births data obtained from the General Directorate of Health Information in the period 2008-2013 were analyzed. The acquired knowledge allows us to say that in Mexico the birth rate is affected by the social welfare, education and marginality at county level. Due to the diversity of the population and the large number of socioeconomic factors involved in Mexican society, it is difficult to find general impact factors for this issue. The results of this research are not intended to be definitive but its aim is to provide indicators that may influence decisions about birth control in Mexico.
Authors and Affiliations
Maria Somodevilla, David Limon Cantu, Ivo Pineda, Concepción Pérez de Celis, Darnes Vilariño
Keywords
Related Articles
- EP ID EP650773
- DOI 10.24297/ijct.v15i1.1708
- Views 88
- Downloads 0
Image Steganography Based On Optimal LSB Pixel Adjustment Method
Now a days, internet becomes major channel for communicating information one place to other such as text, image, audio, video data. Steganography is a technique in which information can to be communicating secretly by hi...
Calcination and alkali metal modification of alumina as solid stationary phase in GC
Alumina has unique textural properties and functionalized surface. The single or multi-treatments of alumina with calcination and alkali metal treatment (NaCl) are of prime one importance not only for determining the str...
Printed Telugu Numeral Recognition based on Structural, Skeleton and Water Reservoir Features
Selection of feature extraction method is most important factor in achieving high recognition performance in automatic numeral recognition systems In this paper, a new proposed s...
Cascading Guided Search Cloud Service Search Engine
Cloud computing is one contemporary technology in which the research community has recently embarked. This paradigm shifts the location of the infrastructure to the network to reduce the costs associated with the managem...
ANALYSIS AND COMPARISION OF SRG AND DFIG FOR WIND GENERATION APPLICATION
Renewable energy is very important topic to be study to find new sources of energy to produce electricity. The main advantages of the renewable energy are available, clean, low cost, and continuous energy.The main object...