Demographic Analysis of Fertility Using Data Mining Tools

Overview

This paper used data mining techniques to discover which attributes have the highest impact on country fertility rates. The data was analyzed in various ways; altogether and joined in smaller, meaningful groups, such as sociological, economical, philosophical, biological, etc. The paper separately analyzed different groups of countries, current state and fertility trends, and tested several class schemas. Most relevant decision trees are presented and interpreted showing some known and some new conclusions. The iterative use of data mining techniques again proved to be successful in finding complex relations, but still needing expert interpretation as any computer method.