A Multi-Model Based Approach for Big Data Analytics:The Case on Education Grant Distribution

摘要：

　　With the increasing development of big data analytic research,abundant big data analytic models have been the most important tools in many fields of social.Federal Education Grant program is especially important for development of universities all over the world.A reasonable investment for a university could provide students more intensive supports,which eventually resulted in increasing the ratio of talented persons and greater contributions to society.However,the study on the optimization of the investment proportion of education grant is rarely few,and there is even no further study on the integration of it in the field of big data analytics.According to it this article aims to use four different models to invest university selectively and determine an optimal investment ratio.

关键词： VARMA Model Internal rate of return model Mean variance model GA

作者: Weiqiang Li Jintao Yang Wenhan Wu Wusi Ci Jie He Lina Fu

作者单位: Zhejiang University City College,Hangzhou 310015,Zhejiang,China

会议类型: 国际会议

会议名称: International Asia-Pacific Web Conference(第18届国际亚太互联网大会)

会议地点: 苏州

会议语种:英文

页码: 16-28

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）