Name
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 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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-36546-1_23 | ACIIDS (1) |
Keywords | Field | DocType |
data completeness measure,pbc system reference architecture,population-based completeness,data quality,important aspect,integrated databases,architectural design,reference architecture | Population,Data mining,Data quality,Architectural design,Computer science,Reference architecture,Completeness (statistics),Database | Conference |
Volume | ISSN | Citations |
7802 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nurul A. Emran | 1 | 1 | 1.73 |
| Suzanne Embury | 2 | 66 | 6.32 |
| Paolo Missier | 3 | 1287 | 100.48 |
| Norashikin Ahmad | 4 | 4 | 0.78 |