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Case count metric for comparative analysis of entity resolution results.

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Bibliographic Details
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

Description
ISSN:	2624-909X
DOI:	10.3389/fdata.2026.1736939