Camel: A journey group t-pattern mining system based on instagram trajectory data

Abstract

A Journey Group T-Pattern (JG T-Pattern) is a special kind of T-Pattern(Trajectory Pattern) in which a large number of users walked through a common trajectory; also, it allows users depart from the trajectory for several times. Travel route is an instance of Journey Group and hot travel route can then be mined under the help of Camel. Instagram is a popular photo-sharing smart phone application based on social network, it is widely used among tourists to record their journey. In this paper, we focus on data generated by Instagram to discover the JG T-pattern of travel routes. Previous researches on T-pattern mining focus on GPS-based data, which is different from the UGC-based(User Generated Content based) data. Data of the former is dense because it is often generated automatically in a certain pace, while the latter is sparse because it is UGC-based, which means the data is generated by the uploading of users. Therefore, a novel approach, called Journey Group T-pattern Mining strategy, is proposed to deal with the trajectory mining on sparse location data. The demo shows that Camel is an efficient and effective system to discover Journey Groups. © 2014 Springer International Publishing Switzerland.