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Mining Mobile Sensor Data for Social Behaviors

Published: 18 April 2017 Publication History

Abstract

Sensor devices widely used on vehicles enable the massive data collection for social behavior analysis. We mined trajectory data and on-board sensor data for point-of-interest (POI) locations, which further indicate public and personal social properties. We propose a method to rank the significance of the POIs that represent those social behaviors.

References

[1]
Xin Cao, Gao Cong, and Christian S Jensen. 2010. Mining significant semantic locations from GPS data. Proceedings of the VLDB Endowment 3, 1-2 (2010), 1009--1020.
[2]
Yu Zheng, Lizhu Zhang, Xing Xie, and Wei-Ying Ma. 2009. Mining interesting locations and travel sequences from GPS trajectories. In Proceedings of the 18th international conference on Worldwide web. ACM, 791--800.

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  1. Mining Mobile Sensor Data for Social Behaviors

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    cover image ACM Conferences
    SocialSens'17: Proceedings of the 2nd International Workshop on Social Sensing
    April 2017
    97 pages
    ISBN:9781450349772
    DOI:10.1145/3055601
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    Publication History

    Published: 18 April 2017

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    Author Tags

    1. Point-of-interest (POI)
    2. Social property
    3. Vehicle sensor data

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    CPS Week '17
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    CPS Week '17: Cyber Physical Systems Week 2017
    April 18 - 21, 2017
    PA, Pittsburgh, USA

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