• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on social computing, behavioral-cultural modeling and prediction and behavior representation in modeling and simulation >Feature Selection of Post-graduation Income of College Students in the United States
【24h】

Feature Selection of Post-graduation Income of College Students in the United States

机译：美国大学生毕业后收入的特征选择

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study investigated the most important attributes of the 6-year post-graduation income of college graduates who used financial aid during their time at college in the United States. The latest data released by the United States Department of Education was used. Specifically, 1,429 cohorts of graduates from three years (2001, 2003, and 2005) were included in the data analysis. Three attribute selection methods, including filter methods, forward selection, and Genetic Algorithm, were applied to the attribute selection from 30 relevant attributes. We discuss how higher numbers of students in a cohort who grew up in Zip code areas where over 25% of the population hold a Professional Degree was predictive of more college graduates being classified as High income.
机译：这项研究调查了在美国大学期间使用经济援助的大学毕业生的6年毕业后收入的最重要属性。使用了美国教育部发布的最新数据。具体来说，数据分析包括了三年（2001年，2003年和2005年）的1,429批毕业生。从30个相关属性中选择了三种属性选择方法，包括过滤方法，正向选择和遗传算法。我们讨论了在一个邮政编码区域（在该地区有25％以上的人口拥有专业学位的地区）长大的队列中的学生人数如何预测，将有更多的大学毕业生被归类为高收入人群。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号