挖掘移动传感器数据的社会行为

Huan Li, Yuanjie Gou
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引用次数: 1

摘要

在汽车上广泛应用的传感器设备,为社会行为分析提供了海量的数据收集。我们挖掘了轨迹数据和车载传感器数据,以获取兴趣点(POI)位置,这些位置进一步表明了公共和个人的社会属性。我们提出了一种方法来对代表这些社会行为的poi的重要性进行排序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining Mobile Sensor Data for Social Behaviors
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.
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