Reference Architectures to Measure Data Completeness Across Integrated Databases

Nurul A., Emran and Ahmad, N. (2013) Reference Architectures to Measure Data Completeness Across Integrated Databases. Lecture Notes in Artificial Intelligence, Subseries of Lecture Notes in Computer Science, 7803. pp. 1-559. ISSN 978-3-642-36542-3

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Abstract

Completeness is an important aspect of data quality and to determine data acceptability one needs to measure the completeness of the data set of concerned. One type of data completeness measure is population-based completeness (PBC). Nevertheless, the notion of PBC will be of little use until we can determine the eorts required (in terms of architectural design) to implement PBC. In this paper, we present the types of PBC system reference architecture and motivate the selection of each.

Item Type: Article
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions: Faculty of Information and Communication Technology > Department of Software Engineeering
Depositing User: Nurul A. Emran
Date Deposited: 03 Feb 2014 16:27
Last Modified: 21 Nov 2016 08:21
URI: http://eprints.utem.edu.my/id/eprint/10978
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