Incomplete Information in Relational Databases
Journal of the ACM (JACM)
Integrity = validity + completeness
ACM Transactions on Database Systems (TODS)
The notion of data and its quality dimensions
Information Processing and Management: an International Journal
Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
Communications of the ACM - Supporting community and building social capital
Estimating the Quality of Databases
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Reference architectures to measure data completeness across integrated databases
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
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Poor quality data such as data with missing values (or records) cause negative consequences in many application domains. An important aspect of data quality is completeness. One problem in data completeness is the problem of missing individuals in data sets. Within a data set, the individuals refer to the real world entities whose information is recorded. So far, in completeness studies however, there has been little discussion about how missing individuals are assessed. In this paper, we propose the notion of population-based completeness (PBC) that deals with the missing individuals problem, with the aim of investigating what is required to measure PBC and to identify what is needed to support PBC measurements in practice. This paper explores the need of PBC in the microbial genomics where real sample data sets retrieved from a microbial database called Comprehensive Microbial Resources are used (CMR).