Name
Title | ||
|---|---|---|
Modelling, Representation And Implementation Of Imperfect Information For An Enhanced Exploration Of Large Databases |
Abstract | ||
|---|---|---|
The rapid development of social networks, intelligent sensors, mobile solutions and Internet of things has led to the emergence of large data-sets. Efficiently and effectively exploring these data-sets is a challenging question, especially when the imperfectness of realworld needs to be taken into account. The objective of this paper is thus to propose several solutions for modelling, representing and implementing imperfect information within large fuzzy databases. More specifically, in this paper imperfect information is modelled through a series of generic fuzzy data types, uniformly represented by means of possibility distributions and implemented using the basic constructs of object databases. These solutions are particularly useful for exploring large fuzzy databases since they permit to minimise the space required to store imperfect information, and access efficiently and effectively these databases. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1080/12460125.2017.1252232 | JOURNAL OF DECISION SYSTEMS |
Keywords | Field | DocType |
Large data-sets, imperfect information, uncertainty imprecision, fuzziness incomplete data, fuzzy attributes, fuzzy database, mapping rule | Management information systems,Social network,Computer science,Intelligent sensor,Internet of Things,Perfect information,Fuzzy data,Fuzzy databases,Database | Journal |
Volume | Issue | ISSN |
26 | 2 | 1246-0125 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sabrine Jandoubi | 1 | 0 | 0.34 |
| Afef Bahri | 2 | 11 | 3.56 |
| Nadia Yacoubi Ayadi | 3 | 40 | 6.45 |
| Salem Chakhar | 4 | 88 | 12.88 |
| Ashraf Labib | 5 | 31 | 4.56 |