Name
Abstract | ||
|---|---|---|
Large amounts of data often require expensive and time-consuming analysis. Therefore, highly scalable and efficient techniques are necessary to process, analyze and discover useful information. Database sampling has proven to be a powerful method to surpass these limitations. Using only a sample of the original large database brings the benefit of obtaining useful information faster, at the potential expense of lower accuracy. In this paper, we demonstrate \\vfds, a novel fast database sampling system that maintains the referential integrity of the data. The system is developed over the open-source database management system, MySQL. We present various scenarios to demonstrate the effectiveness of VFDS in approximate query answering, sample size, and execution time, on both real and synthetic databases. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2661829.2661845 | CIKM |
Keywords | Field | DocType |
database sampling,miscellaneous,random,relational database | Data mining,Database tuning,Relational database,Information retrieval,Computer science,Database testing,Database design,Sampling (statistics),Database,Sample size determination,Referential integrity,Scalability | Conference |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Teodora Sandra Buda | 1 | 26 | 7.50 |
| Thomas Cerqueus | 2 | 45 | 10.23 |
| John Murphy | 3 | 75 | 10.07 |
| Morten Kristiansen | 4 | 11 | 2.67 |