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Robust and efficient fuzzy match for online data cleaning
Abstract
To ensure high data quality, data warehouses must validate and cleanse incoming data tuples from external sources. In many situations, clean tuples must match acceptable tuples in reference tables. For example, product name and description fields in a sales record from a distributor must match the pre-recorded name and description fields in a product reference relation.A significant challenge in such a scenario is to implement an efficient and accurate fuzzy match operation that can effectively clean an incoming tuple if it fails to match exactly with any tuple in the reference relation. In this paper, we propose a new similarity function which overcomes limitations of commonly used similarity functions, and develop an efficient fuzzy match algorithm. We demonstrate the effectiveness of our techniques by evaluating them on real datasets.
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Cites
Approximate nearest neighbors: towards removing the curse of dimensionality
Indyk, P., & Motwani, R. (1998) · Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98 · doi:10.1145/276698.276876 · Cited by 4,188
Self-citation
Cited by
Sarawagi, S. (2008) · Foundations and Trends in Databases · doi:10.1561/1900000003 · Cited by 707
Collective entity resolution in relational data
Bhattacharya, I., & Getoor, L. (2007) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1217299.1217304 · Cited by 593
Efficient exact set-similarity joins
Arasu, A., Ganti, V., & Kaushik, R. (2006) · doi:10.5555/1182635.1164206 · Cited by 406
Self-citationRecord linkage: similarity measures and algorithms
Koudas, N., Sarawagi, S., & Srivastava, D. (2006) · Proceedings of the 2006 ACM SIGMOD international conference on Management of data · doi:10.1145/1142473.1142599 · Cited by 289
A Latent Dirichlet Model for Unsupervised Entity Resolution
Bhattacharya, I., & Getoor, L. (2006) · Proceedings of the 2006 SIAM International Conference on Data Mining · doi:10.1137/1.9781611972764.5 · Cited by 266
Metadata
- Authors
- Chaudhuri, S., Ganjam, K., Ganti, V., & Motwani, R.
- Venue
- Proceedings of the 2003 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 2003-06-09
- Pages
- 313-324
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2105423800
- Cited by
- 457
- References
- 1
- FWCI
- 39.73
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Chaudhuri, S., Ganjam, K., Ganti, V., & Motwani, R. (2003). Robust and efficient fuzzy match for online data cleaning. Proceedings of the 2003 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/872757.872796
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