Name
Abstract | ||
|---|---|---|
Thanks to their ability to return interesting objects in a database, the skyline queries have received considerable attention from the database community over the last few years. Skyline analysis is a powerful tool in a wide spectrum of real applications including multi-criteria optimal decision making, preference answering and many applications where uncertain, imprecise and noisy data inherently exist. As large amounts of distributed data over an Internet are communicated and shared, an important problem is to retrieve the global skyline from all the distributed local sites. In this paper, based on the skyline query over centralised imperfect data where imperfection is modeled by the evidence theory, we propose to efficiently compute the global skyline from distributed local sites. The efficiency and effectiveness of our proposal are verified by extensive experimental results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICTAI.2016.0058 | 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI) |
Keywords | Field | DocType |
Skyline queries,Distributed databases,Evidence theory,Evidential databases | Skyline,Data mining,Data modeling,Optimal decision,Computer science,Server,Probabilistic logic,Distributed database,Semantics,The Internet | Conference |
ISSN | ISBN | Citations |
1082-3409 | 978-1-5090-4460-3 | 0 |
PageRank | References | Authors |
0.34 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sayda Elmi | 1 | 14 | 3.55 |
| Mohamed Anis Bach Tobji | 2 | 31 | 10.11 |
| Allel Hadjali | 3 | 391 | 49.62 |
| Boutheina Ben Yaghlane | 4 | 189 | 33.49 |