Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org
From MaRDI portal
Publication:6585596
DOI10.1080/00031305.2023.2191664MaRDI QIDQ6585596
Unnamed Author, Unnamed Author, Unnamed Author, Unnamed Author, Christina Jones, Olivier Binette
Publication date: 12 August 2024
Published in: The American Statistician (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Quality measures in data mining
- Model assisted survey sampling.
- A note on using the F-measure for evaluating record linkage algorithms
- Data Quality and Record Linkage Techniques
- A Method for Calibrating False-Match Rates in Record Linkage
- A Generalization of Sampling Without Replacement From a Finite Universe
This page was built for publication: Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org