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Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers
Information Systems Research ( IF 5.490 ) Pub Date : 2020-10-05 , DOI: 10.1287/isre.2020.0946
Yingjie Zhang 1 , Beibei Li 2 , Ramayya Krishnan 2
Affiliation  

In this study, using a Bayesian learning model with a rich data set consisting of 2 million fine-grained GPS observations, we study the role of information observable by or made available to taxi d...

中文翻译:

使用传感器数据学习个人行为:全球定位系统跟踪和出租车司机的案例

在这项研究中,使用贝叶斯学习模型,该模型具有包含200万个细粒度GPS观测值的丰富数据集,我们研究了出租车司机可观测或可获取的信息的作用。
更新日期:2020-10-05
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