Finding the Truth From Uncertain Time Series by Differencing
Jizhou Sun,
Delin Zhou,
Bo Jiang
Abstract:Time series data is ubiquitous and of great importance in real applications. But due to poor qualities and bad working conditions of sensors, time series reported by them contain more or less noises. To reduce noise, multiple sensors are usually deployed to measure an identical time series and from these observations the truth can be estimated, which derives the problem of truth discovery for uncertain time series data. Several algorithms have been proposed, but they mainly focus on minimizing the error betwee… Show more
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