Cleaning of Multi-Source Uncertain Time Series Data Based on PageRank

TP311.1; 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...

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Bibliographic Details
Published in东华大学学报（英文版） Vol. 40; no. 6; pp. 695 - 700
Main Authors GAO Jiawei, SUN Jizhou
Format Journal Article
LanguageEnglish
Published 31.12.2023
Subjects
PageRank
time series
big data
data cleaning
truth discovery
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Summary:TP311.1; 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.
ISSN:1672-5220
DOI:10.19884/j.1672-5220.202303010