Case count metric for comparative analysis of entity resolution results.
Saved in:
| Title: | Case count metric for comparative analysis of entity resolution results. |
|---|---|
| Authors: | Talburt JR; Center for Advanced Research in Entity Resolution and Information Quality (ERIQ), University of Arkansas at Little Rock, Little Rock, AR, United States., Mohammed MA; Center for Advanced Research in Entity Resolution and Information Quality (ERIQ), University of Arkansas at Little Rock, Little Rock, AR, United States., Cakmak MC; Center for Advanced Research in Entity Resolution and Information Quality (ERIQ), University of Arkansas at Little Rock, Little Rock, AR, United States., Mohammed OK; Center for Advanced Research in Entity Resolution and Information Quality (ERIQ), University of Arkansas at Little Rock, Little Rock, AR, United States., Mohammed MK; Center for Advanced Research in Entity Resolution and Information Quality (ERIQ), University of Arkansas at Little Rock, Little Rock, AR, United States., Syed K; Center for Advanced Research in Entity Resolution and Information Quality (ERIQ), University of Arkansas at Little Rock, Little Rock, AR, United States., Claassens L; Pilog Group, Centurion, South Africa. |
| Source: | Frontiers in big data [Front Big Data] 2026 Jun 11; Vol. 9, pp. 1736939. Date of Electronic Publication: 2026 Jun 11 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media Country of Publication: Switzerland NLM ID: 101770603 Publication Model: eCollection Cited Medium: Internet ISSN: 2624-909X (Electronic) Linking ISSN: 2624909X NLM ISO Abbreviation: Front Big Data Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
