Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine

Author:

Anderson Kris E.,Talburt John R.,Hagan Nicholas K. A.,Zimmerman Timothy J.,Hagan Deasia

Publisher

Springer Nature Switzerland

Reference7 articles.

1. Talburt, J.R., Al Sarkhi, A.K., Pullen, D., Claassens, L., Wang, R.: An iterative, self-assessing entity resolution system: first steps toward a data washing machine. Focus 11(12) (2020)

2. Al Sarkhi, A.K.A.: Building a data washing machine for unsupervised entity resolution of unstandardized references sources, Ph. D. diss., University of Arkansas at Little Rock, 2021

3. Al-Sarkhi, A., Talburt, J.R.: Estimating the parameters for linking unstandardized references with the matrix comparator. J. Inf. Technol. Manage. 10(4), 12–26 (2018)

4. Advances in Intelligent Systems and Computing;AK Al Sarkhi,2021

5. Wang, P.:Blocking strategies for performing entity resolution in a distributed computing environment, Ph. D. diss., University of Arkansas at Little Rock (2016)

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