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Multi-dimensional Probabilistic Regression over Imprecise Data Streams
2022
Proceedings of the ACM Web Conference 2022
In applications of Web of Things or Web of Events, a massive volume of multi-dimensional streaming data are automatically and continuously generated from different sources, such as GPS, sensors, and other measurement devices, which are essentially imprecise (inaccurate and/or uncertain). It is challenging to monitor and get insights over imprecise and low-level streaming data, in order to capture potentially important data changing trends and to initiate prompt responses. In this work, we
doi:10.1145/3485447.3512150
fatcat:e7ov3sgumndw3dmhmimdf4mckm