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Minimizing Efforts in Reconciling Participatory Sensing Data
2018
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18
Participatory sensing has emerged as a new data collection paradigm, in which humans use their own devices (cell phone accelerometers, cameras, etc.) as sensors. This paradigm enables to collect a huge amount of data from the crowd for world-wide applications, without spending cost to buy dedicated sensors. Despite of this benefit, the data collected from human sensors are inherently uncertain due to no quality guarantee from the participants. Moreover, the participatory sensing data are time
doi:10.1145/3227609.3227678
dblp:conf/wims/CongTHS18
fatcat:c3ljz4uhkzg3nfshe4xoqx6mia