Name
Abstract | ||
|---|---|---|
Top-k queries represent a vigorous tool to rank-order answers and return only the most interesting ones. ETop-k queries were introduced to discriminate answers in the context of evidential databases. Due to their interval degrees, such answers seem to be difficult to rank-order and to interpret. Two methods of ranking intervals were proposed in the evidential context. This paper presents an efficient implementation of these methods and discusses the experimental results obtained. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-91473-2_35 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Evidence theory,Evidential databases,Evidential Top-k queries | Ranking,Information retrieval,Computer science | Conference |
Volume | ISSN | Citations |
853 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fatma Ezzahra Bousnina | 1 | 6 | 1.85 |
| Mouna Chebbah | 2 | 19 | 5.58 |
| Mohamed Anis Bach Tobji | 3 | 31 | 10.11 |
| Allel Hadjali | 4 | 391 | 49.62 |
| Boutheina Ben Yaghlane | 5 | 189 | 33.49 |