Measuring Data Completeness for Microbial Genomics Database

Nurul A., Emran and Muda, A. K. (2013) Measuring Data Completeness for Microbial Genomics Database. 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

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 supportPBC 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).

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 16:19
Last Modified: 21 Nov 2016 08:18
URI: http://eprints.utem.edu.my/id/eprint/10960
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