基于贝叶斯网络的流动女性收入决定因素研究

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI:10.1109/ICACI.2012.6463328

Yingyu Ge, Chunping Li

{"title":"基于贝叶斯网络的流动女性收入决定因素研究","authors":"Yingyu Ge, Chunping Li","doi":"10.1109/ICACI.2012.6463328","DOIUrl":null,"url":null,"abstract":"Based on the survey of floating women in Jiangsu province, the article establishes a directed acyclic graph of factors influence income of floating women by using Bayesian Networks. The result indicates that not all the individual characteristics have a direct effect on income. The relationships between income and individual characteristics are complicated. Age has a direct impact on education level and marital status. Domicile has a direct impact on education level. Educational level and marital status influence floating women's job. And different jobs offer different salary. So age, domicile, education level, and marital status have indirect influence on income through the job of floating women.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"79 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A research on determinants of floating women's income with Bayesian Networks\",\"authors\":\"Yingyu Ge, Chunping Li\",\"doi\":\"10.1109/ICACI.2012.6463328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the survey of floating women in Jiangsu province, the article establishes a directed acyclic graph of factors influence income of floating women by using Bayesian Networks. The result indicates that not all the individual characteristics have a direct effect on income. The relationships between income and individual characteristics are complicated. Age has a direct impact on education level and marital status. Domicile has a direct impact on education level. Educational level and marital status influence floating women's job. And different jobs offer different salary. So age, domicile, education level, and marital status have indirect influence on income through the job of floating women.\",\"PeriodicalId\":404759,\"journal\":{\"name\":\"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"79 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACI.2012.6463328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2012.6463328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文在对江苏省流动妇女进行调查的基础上，运用贝叶斯网络建立了流动妇女收入影响因素的有向无环图。结果表明，并非所有的个体特征都对收入有直接影响。收入与个人特征之间的关系是复杂的。年龄对受教育程度和婚姻状况有直接影响。居住地对教育水平有直接影响。文化程度和婚姻状况影响流动妇女的就业。不同的工作提供不同的薪水。因此，年龄、户籍、受教育程度、婚姻状况对流动妇女的收入有间接影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A research on determinants of floating women's income with Bayesian Networks

Based on the survey of floating women in Jiangsu province, the article establishes a directed acyclic graph of factors influence income of floating women by using Bayesian Networks. The result indicates that not all the individual characteristics have a direct effect on income. The relationships between income and individual characteristics are complicated. Age has a direct impact on education level and marital status. Domicile has a direct impact on education level. Educational level and marital status influence floating women's job. And different jobs offer different salary. So age, domicile, education level, and marital status have indirect influence on income through the job of floating women.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)

自引率

0.00%

发文量