TY - GEN
T1 - Reference architectures to measure data completeness across integrated databases
AU - Emran, Nurul A.
AU - Embury, Suzanne
AU - Missier, Paolo
AU - Ahmad, Norashikin
PY - 2013
Y1 - 2013
N2 - 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 efforts required (in terms of architectural design) to implement PBC. In this paper, we present the types of PBC system reference architecture involving integrated databases and motivate the selection of each.
AB - 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 efforts required (in terms of architectural design) to implement PBC. In this paper, we present the types of PBC system reference architecture involving integrated databases and motivate the selection of each.
KW - completeness measurement
KW - data completeness
KW - population-based completeness(PBC)
KW - reference architecture
UR - https://www.scopus.com/pages/publications/84874638608
U2 - 10.1007/978-3-642-36546-1_23
DO - 10.1007/978-3-642-36546-1_23
M3 - Conference contribution
AN - SCOPUS:84874638608
SN - 9783642365454
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 216
EP - 225
BT - Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings
T2 - 5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013
Y2 - 18 March 2013 through 20 March 2013
ER -