Name
Abstract | ||
|---|---|---|
Probabilistic databases address well the requirements of an increasing number of modern applications that produce large volumes of uncertain data from a variety of sources. We propose probabilistic keys as a principled tool helping organizations balance the consistency and completeness targets for their data quality. For this purpose, algorithms are established for an agile schema- and data-driven acquisition of the marginal probability by which keys should hold in a given application domain, and for reasoning about these keys. The efficiency of our acquisition framework is demonstrated theoretically and experimentally. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-19069-3_8 | ADVANCED INFORMATION SYSTEMS ENGINEERING, CAISE 2015 |
Keywords | Field | DocType |
Acquisition,Key,Probability,Quality,Visualization | Data mining,Data quality,Visualization,Computer science,Agile software development,Uncertain data,Application domain,Probabilistic logic,Completeness (statistics),Probabilistic database | Conference |
Volume | ISSN | Citations |
9097 | 0302-9743 | 9 |
PageRank | References | Authors |
0.48 | 29 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pieta Brown | 1 | 9 | 0.81 |
| Sebastian Link | 2 | 185 | 12.50 |