Abstract
As data in real life is often dirty, data cleaning is a natural way to improve the data quality. However, due to the lack of human knowledge, existing automatic data cleaning systems cannot find the proper values for dirty data. Thus we propose an online data cleaning system CrowdCleaner based on Crowdsourcing. CrowdCleaner provides a friendly interface for users dealing with different data quality problems. In this demonstration, we show the architecture of CrowdCleaner and highlight a few of its key features. We will show the process of the CrowdCleaner to clean data. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Ye, C., Wang, H., Li, K., Chen, Q., Chen, J., Song, J., & Yuan, W. (2014). CrowdCleaner: A data cleaning system based on crowdsourcing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8709 LNCS, pp. 657–661). Springer Verlag. https://doi.org/10.1007/978-3-319-11116-2_64
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