A Novel Approach of Deduplication on Indian Demographic Variation for Large Structured Data-Reference-Cited by-同舟云学术

A Novel Approach of Deduplication on Indian Demographic Variation for Large Structured Data

Published:2021-12-17 Issue: Volume: Page:343-355
ISSN:2367-3370
Container-title:Intelligent Sustainable Systems
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Author:

Bhattacharjee Krishnanjan,Garg Chahat,Shivakarthik S.,Mehta Swati,Kumar Ajai,Bhide Shonil,Kulkarni Kshitija,Ratnaparkhi Shivank,Agarwal Khushboo,Naik Varsha

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6369-7_30

Reference14 articles.

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3. Sarawagi, S., Bhamidipaty, A., Kirpal, A., Mouli, C.: Alias. VLDB’02: Proceedings of the 28th International Conference on Very Large Databases, pp. 1103–1106 (2002). https://doi.org/10.1016/b978-155860869-6/50119-0

4. Elfeky, M.G., Verykios, V.S., Elmagarmid, A.K.: TAILOR: a record linkage toolbox. In: Proceedings 18th International Conference on Data Engineering (2002). https://doi.org/10.1109/icde.2002.994694

5. Bilenko, M., Mooney, R.J.: Adaptive duplicate detection using learnable string similarity measures. In: Proceedings of the ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining—KDD’03 (2003). https://doi.org/10.1145/956750.956759

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1. Structured Demographic Data De-duplication in Indian Names;Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing;2023