Efficiently Transforming Tables for Joinability

@article{Nobari2022EfficientlyTT,
  title={Efficiently Transforming Tables for Joinability},
  author={Arash Dargahi Nobari and Davood Rafiei},
  journal={2022 IEEE 38th International Conference on Data Engineering (ICDE)},
  year={2022},
  pages={1649-1661}
}
Data from different sources rarely conform to a single formatting even if they describe the same set of entities, and this raises concerns when data from multiple sources must be joined or cross-referenced. Such a formatting mismatch is unavoidable when data is gathered from various public and third-party sources. Commercial database systems are not able to perform the join when there exist differences in data representation or formatting, and manual reformatting is both time consuming and… 

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