Appendix - Mining User Behaviour from Smartphone data: a literature review
收藏data.dtu.dk2023-07-12 更新2025-03-24 收录
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Each study reviewed is here catalogued as follows.· Level of difficulty: Classification Task, Number and List of Classes.· Approach: Method and Main Features.· Performance: Score, Metric, Validation Method.· Realism of dataset: Ground Truth, Person-day, Respondents, Observations, Collection Time, Area, Smartphone App.· Sensors involved: AGPS, Inertial Navigation Systems (INS), Geographic Information Systems (GIS), Data Fusion.
每一项被审查的研究均按照以下方式进行编目。· 难度级别:分类任务,类别数量及列表。· 方法论:方法及其主要特性。· 性能:评分、指标、验证方法。· 数据集的现实性:真实值、人日、受访者、观测数据、收集时间、区域、智能手机应用。· 涉及的传感器:AGPS、惯性导航系统(INS)、地理信息系统(GIS)、数据融合。
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