Analysis of Human Mobility Based on Cellular Data

International Conference on Computing and Applied Informatics 2016

物理学;计算机科学

Arifiansyah, F.^1 ; Saptawati, G.A.P.^1

School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Ganesha 10, West Java, Bandung, Indonesia^1

关键词: Billing systems;    Data-visualization process;    Decision makers;    Decision making process;    Frequent pattern mining;    Human mobility;    Mobile-phone users;    Prior knowledge;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/801/1/012018/pdf
DOI  :  10.1088/1742-6596/801/1/012018

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Nowadays not only adult but even teenager and children have then own mobile phones. This phenomena indicates that the mobile phone becomes an important part of everyday's life. Based on these indication, the amount of cellular data also increased rapidly. Cellular data defined as the data that records communication among mobile phone users. Cellular data is easy to obtain because the telecommunications company had made a record of the data for the billing system of the company. Billing data keeps a log of the users cellular data usage each time. We can obtained information from the data about communication between users. Through data visualization process, an interesting pattern can be seen in the raw cellular data, so that users can obtain prior knowledge to perform data analysis. Cellular data processing can be done using data mining to find out human mobility patterns and on the existing data. In this paper, we use frequent pattern mining and finding association rules to observe the relation between attributes in cellular data and then visualize them. We used weka tools for finding the rules in stage of data mining. Generally, the utilization of cellular data can provide supporting information for the decision making process and become a data support to provide solutions and information needed by the decision makers.