An Improvement Method to Mining Outliers Based on Social and Spatial Information

6th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence

Zhou, Ce^1 ; Luo, Xiao^2

College of Computer Science and Technology, Tsinghua University, Beijing

10084, China^1

College of Computer Science and Technology, Jilin University, Changchun

130012, China^2

关键词: Clustering methods;    Communication companies;    Communication data;    Data set;    Eigenvalues;    Improvement methods;    Real communication;    Spatial informations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/234/1/012085/pdf
DOI  :  10.1088/1755-1315/234/1/012085

来源: IOP

【 摘 要 】

In this paper, a method for finding outliers is proposed for communication data. By extracting the social and spatial information as the eigenvalues from the user's call list. We use clustering method to aggregate users with the same attributes, and then analyze the clusters to find outliers. We use the real communication data of a communication company as the data set, and the experimental results show that our method can quickly and accurately find the abnormal communication user.