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A Practical Guide to Entity Resolution with OYSTER

  • Published:2013 Issue: Volume: Page:235-270
  • ISSN:
  • Container-title:Handbook of Data Quality
  • language:
  • Short-container-title:

Author:

Talburt John R.,Zhou Yinle

Publisher

Springer Berlin Heidelberg

Reference83 articles.

1. Lee Y, Pipino L, Funk J, Wang R (2006) Journey to data quality. MIT Press, Cambridge

2. English L (2009) Information quality applied. Wiley, Indianapolis

3. Dyché J, Levy E (2006) Customer data integration: Reaching a single version of the truth. Wiley, New York

4. Maydanchik A (2007) Data quality assessment. Technics Publications, Bradley Beach

5. Huang KT, Lee Y, Wang R (1999) Quality information and knowledge management. Prentice Hall PTR, Upper Saddle River

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1. API Driven On-Demand Participant ID Pseudonymization in Heterogeneous Multi-Study Research;Healthcare Informatics Research;2021-01-31

2. Model for Estimating the Optimal Parameter Values of the Scoring Matrix in the Entity Resolution of Unstandardized References;Advances in Intelligent Systems and Computing;2021

3. Entity Resolution for Maintaining Electronic Medical Record Using OYSTER;EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing;2019-10-19

4. Strategies for Large-Scale Entity Resolution Based on Inverted Index Data Partitioning;Information Quality and Governance for Business Intelligence;2014

5. Generic and Declarative Approaches to Data Quality Management;Handbook of Data Quality;2013
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