紀要論文

Location Prediction Modeling based on Mining Movement Pattern from Mobile Phone Data

eng

18810667

https://doi.org/10.15002/00010522

法政大学大学院情報科学研究科

9

57

66

2014-03

Version of Record

Abstract—This paper proposes a location prediction model that can be used for predicting a moving route of any mobile phone user. It is said that one's moving route may reflect his/her hobby, regular moving pattern, or sociability. With the advancing network and communication technologies, mobile phones have become an indispensable device in our daily life. Data analysis from mobile phone users has become a hot topic. This paper describes how a mobile phone user's one year data is used to build the location prediction model by data partition, cleansing, and event sequence analysis and pattern extraction. With one's location prediction model, it is possible to predict a next place he/she will likely visit. This may be beneficial to some enterprise businesses. For example, if a company can predict someone will go to a certain location, it is possible to push some commercial advertisement related to sales in this location or near around to his/her mobile phone.

Article

AA12222297