Outlier Detection on Large-Scale Collective Behaviors

摘要：

Outlier detection on collective behaviors is an interesting and practical problem with the aid of tracking technology and devices such as mobile phones,GPS,and cameras.The aim of outlier detection is to monitor and alarm abnormal collective behaviors of crowd.This study proposes a framework for detecting outliers of collective behaviors.The experiments with toy data and real-world traffic data show that the proposed framework can work satisfactorily.

关键词： Index TermsOutlier Detection Collective Behaviors Pattern Recognition Data Mining

作者: Wenbin Zhou Su Yang

作者单位: College of Computer Science and Technology Fudan University Shanghai 200433,China

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 635-639

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）