Reference Architectures to Measure Data Completeness Across Integrated Databases

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 ca...

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Main Authors:	Nurul A., Emran, Ahmad, N.
Format:	Article
Language:	English
Published:	Springer-Verlag Berlin Heidelberg 2013
Subjects:	ZA Information resources ZA4450 Databases
Online Access:	http://eprints.utem.edu.my/id/eprint/10978/1/nurulACIIDS2012_2.pdf http://eprints.utem.edu.my/id/eprint/10978/
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Institution:	Universiti Teknikal Malaysia Melaka
Language:	English

id	my.utem.eprints.10978
record_format	eprints
spelling	my.utem.eprints.109782021-09-02T12:47:28Z http://eprints.utem.edu.my/id/eprint/10978/ Reference Architectures to Measure Data Completeness Across Integrated Databases Nurul A., Emran Ahmad, N. ZA Information resources ZA4450 Databases 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. Springer-Verlag Berlin Heidelberg 2013 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/10978/1/nurulACIIDS2012_2.pdf 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
institution	Universiti Teknikal Malaysia Melaka
building	UTEM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknikal Malaysia Melaka
content_source	UTEM Institutional Repository
url_provider	http://eprints.utem.edu.my/
language	English
topic	ZA Information resources ZA4450 Databases
spellingShingle	ZA Information resources ZA4450 Databases Nurul A., Emran Ahmad, N. Reference Architectures to Measure Data Completeness Across Integrated Databases
description	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.
format	Article
author	Nurul A., Emran Ahmad, N.
author_facet	Nurul A., Emran Ahmad, N.
author_sort	Nurul A., Emran
title	Reference Architectures to Measure Data Completeness Across Integrated Databases
title_short	Reference Architectures to Measure Data Completeness Across Integrated Databases
title_full	Reference Architectures to Measure Data Completeness Across Integrated Databases
title_fullStr	Reference Architectures to Measure Data Completeness Across Integrated Databases
title_full_unstemmed	Reference Architectures to Measure Data Completeness Across Integrated Databases
title_sort	reference architectures to measure data completeness across integrated databases
publisher	Springer-Verlag Berlin Heidelberg
publishDate	2013
url	http://eprints.utem.edu.my/id/eprint/10978/1/nurulACIIDS2012_2.pdf http://eprints.utem.edu.my/id/eprint/10978/
_version_	1710679396419895296

Reference Architectures to Measure Data Completeness Across Integrated Databases

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