摘要
There are errors in multi-source uncertain time series data.Truth discovery methods for time series data are effective in finding more accurate values,but some have limitations in their usability.To tackle this challenge,we propose a new and convenient truth discovery method to handle time series data.A more accurate sample is closer to the truth and,consequently,to other accurate samples.Because the mutual-confirm relationship between sensors is very similar to the mutual-quote relationship between web pages,we evaluate sensor reliability based on PageRank and then estimate the truth by sensor reliability.Therefore,this method does not rely on smoothness assumptions or prior knowledge of the data.Finally,we validate the effectiveness and efficiency of the proposed method on real-world and synthetic data sets,respectively.
作者
高嘉伟
孙纪舟
GAO Jiawei;SUN Jizhou(Faculty of Computer and Software Engineering,Huaiyin Institute of Technology,Huai’an 223003,China)
基金
National Natural Science Foundation of China(No.62002131)
Shuangchuang Ph.D Award(from World Prestigious Universities)of Jiangsu Province,China(No.JSSCBS20211179)。