Name
Abstract | ||
|---|---|---|
Uncertain data are data with uncertainty information, which exist widely in database applications. In recent years, uncertainty in data has brought challenges in almost all database management areas such as data modeling, query representation, query processing, and data mining. There is no doubt that uncertain data management has become a hot research topic in the field of data management. In this study, we explore problems in managing uncertain data, present state-of-the-art solutions, and provide future research directions in this area. The discussed uncertain data management techniques include data modeling, query processing, and data mining in uncertain data in the forms of relational, XML, graph, and stream. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11704-017-7063-z | Frontiers of Computer Science |
Keywords | Field | DocType |
uncertain data,probabilistic database,probabilistic XML,semi-structured data,data stream | Data science,Semi-structured data,Data modeling,Graph,XML,Computer science,Data stream,Uncertain data,Artificial intelligence,Data management,Machine learning,Probabilistic database | Journal |
Volume | Issue | ISSN |
14 | 1 | 2095-2236 |
Citations | PageRank | References |
1 | 0.35 | 114 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lingli Li | 1 | 1 | 2.04 |
| Hongzhi Wang | 2 | 421 | 73.72 |
| Jianzhong Li | 3 | 63 | 24.23 |
| Hong Gao | 4 | 1086 | 120.07 |