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This paper aims at finding the relationship between quality indicators as well as a proper data cleaning strategy.
The second part of this paper compares and analyzes the performance of different data cleaning order and discovers the proper data cleaning strategy.
Therefore, a proper data cleaning strategy is particularly important to improve the cleaning efficiency and cleaning effect in wireless sensor networks.
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Most of the data-processing tasks involved data cleaning.
Data imputation is a basic step for data cleaning.
TA conducted data cleaning.
TO conducted data cleaning.
We systematically perform ongoing data cleaning.
During data cleaning 649 records were removed.
PS was responsible for data cleaning.
TO and ST conducted data cleaning.
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