| The census is widely used all over the world to collect demographic information on the scientific method, which provides the country a major source of basic demographic data. The census is a national survey that is to find out the country’s basic national conditions. It reflects people’s life condition. It also provides a reliable basis to the realization of demographic, economic and sustainable development of resources and environment. National development planning such as industrial policy, education policy, employment policy and social security policy, are directly based on demographic situation developed.Data mining is to reveal patterns in the data and in the relationship between the data. In order to develop appropriate support information for management decision, it can be applied to find the hidden information in the back of the regularity of large amounts of data. Using data mining technology to analyze the census data has a high practical significance.This dissertation studies the use of data mining techniques dealing with population data, and the use of quantitative methods for population studies. It firstly describes the current situation of the domestic population studies, data mining and international research, application status, and significance of data mining technology for the necessity of population studies. Then we introduced the data mining decision tree model algorithm for detail; given population data used in this dissertation, an analysis and preprocessing methods are proposed based on population information. After the analyze the attributes in the demographic data, we determine the tasks and capabilities of statistical analysis for data mining. In this dissertation, AlphaMiner is used to build the decision tree modeling system, and the results were analyzed and evaluated. Finally, the dissertation summarizes the work and research prospect. |
