Mining Individual Life Pattern Based on Location History

By Yang Ye, Yu Zheng, Yukun Chen, Jianhua Feng, Xing Xie. 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, 2009

320 citations recorded by the source corpus.

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Trajectory Data Mining (2015, background): “[116] proposed to mine life patterns from an individual’s GPS trajectories.”
Semantic trajectory mining for location prediction (2011, methodology): “Personal-based prediction [4] [11] [12] and general-based prediction [7] [8] [9] [16] [17] are two approaches often adopted in this problem domain.”
Recommendations in location-based social networks: a survey (2015, background): “Extensive knowledge about a user’s behavior and preferences can be learned via their location history [113].”
Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2013, methodology): “Since these fictitious trips could drastically modify the trip length estimation, we propose a second approach for which we manipulate the data applying a methodology which generalizes what was used for GPS traces, see Ye et al. (2009) and Krumm (2006). The methodology is composed of the following s”