Entity Matching: Matching Entities Between Multiple Data Sources

Author:

Bilan Ivan

Publisher

Springer International Publishing

Reference15 articles.

1. Bayrak, A.T., Özbek, E.E., Kestepe, S., & Yildiz, O.T. (2019). Intelligent mapping for hotel records representing the same entity (pp. 560–563). In 2019 4th International conference on computer science and engineering (UBMK).

2. Christen, P. (2012). Data matching: Concepts and techniques for record linkage, entity resolution, and duplicate detection. Springer Publishing Company. Incorporated.

3. Cohen, W. W., Ravikumar, P., & Fienberg, S. E. (2003, August). A comparison of string distance metrics for name-matching tasks. IIWeb, 3, 73–78.

4. Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.

5. Hyyrö, H. (2003). A bit-vector algorithm for computing Levenshtein and Damerau edit distances. Nordic Journal of Botany, 10(1), 29–39.

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