Name
Abstract | ||
|---|---|---|
Incomplete data accompanies our life processes and covers almost all fields of scientific studies, as a result of delivery failure, no power of battery, accidental loss, etc. However, how to model, index, and query incomplete data incurs big challenges. For example, the queries struggling with incomplete data usually have dissatisfying query results due to the improper incompleteness handling methods. In this paper, we systematically review the management of incomplete data, including modelling, indexing, querying, and handling methods in terms of incomplete data. We also overview several application scenarios of incomplete data, and summarize the existing systems related to incomplete data. It is our hope that this survey could provide insights to the database community on how incomplete data is managed, and inspire database researchers to develop more advanced processing techniques and tools to cope with the issues resulting from incomplete data in the real world. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11704-016-6195-x | Frontiers of Computer Science |
Keywords | Field | DocType |
incomplete data, query processing, indexing, application, system | Data science,Computer science,Search engine indexing,Data management | Journal |
Volume | Issue | ISSN |
12 | 1 | 2095-2236 |
Citations | PageRank | References |
6 | 0.42 | 80 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoye Miao | 1 | 11 | 4.59 |
| Yunjun Gao | 2 | 862 | 89.71 |
| Su Guo | 3 | 6 | 1.77 |
| Wanqi Liu | 4 | 6 | 0.42 |