Inferring Behavior Patternsby Location Data Using PCA Algorithm

摘要：

　　The analysis of human behavior and dynamics of groups from various datasets becomes a promising and challenging domain.In this paper, we present anapplication of Principal Component Analysis (PCA) in modeling human daily activity based on a dataset from MIT Reality Mining Project.Furthermore, this paper compares real-time data from mobile phones with standard survey data.Also, group networksare inferred from different type of data mentioned above.

关键词： Principal Component Analysis algorithm Eigen behavior Behavior reconstruction,social network

作者: Heng Song Genke Yang Changchun Pan

作者单位: School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China

会议类型: 国内会议

会议名称: 2013中国自动化学会华东六省一市年会(CETCU 2013)

会议地点: 威海

会议语种:英文

页码: 22-27

在线出版日期: 2013-10-11（万方平台首次上网日期，不代表论文的发表时间）