A Predictive Model for Fertility Behavior of Women of Childbearing Age: Based on the Apriori Algorithm and Smooth Cut-Point Calculation-Reference-Cited by-同舟云学术

A Predictive Model for Fertility Behavior of Women of Childbearing Age: Based on the Apriori Algorithm and Smooth Cut-Point Calculation

Published:2020-05-20 Issue:3 Volume:24 Page:260-264
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Chen Feng, ,Zhang Xiuwu

Abstract

We combine the Apriori data mining algorithm and smooth cut-point calculation to build a model that uses microscopic individual data to predict fertility behavior. The data of China’s migrant population from 2013 to 2015 are used to predict the reproductive behavior of migrant women. The accuracy of the prediction results is over 84%. The model also quantifies the extent to which the existing characteristics of individuals influence their reproductive behavior. The government can regulate individual fertility behavior based on the quantified scores.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

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