Name
Abstract | ||
|---|---|---|
Computational or scientific simulations are increasingly being applied to solve a variety of scientific problems. Domains such as astrophysics, engineering, chemistry, biology, and environmental studies are benefiting from this important capability. Simulations, however, produce enormous amounts of data that need to be analyzed and understood. In this overview paper, we describe scientific simulation data, its characteristics, and the way scientists generate and use the data. We then compare and contrast simulation data to data streams. Finally, we describe our approach to analyzing simulation data, present the AQSim (Ad-hoc Queries for Simulation data) system, and discuss some of the challenges that result from handling this kind of data. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/974121.974137 | SIGMOD Record |
Keywords | Field | DocType |
scientific problem,scientific simulation data,environmental study,ad-hoc queries,contrast simulation data,simulation data,important capability,enormous amount,data stream,scientific simulation,data analysis | Data science,Scientific simulation,Data stream mining,Computer science,Database,Environmental studies | Journal |
Volume | Issue | ISSN |
33 | 1 | 0163-5808 |
Citations | PageRank | References |
8 | 0.56 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ghaleb Abdulla | 1 | 519 | 150.23 |
| Terence Critchlow | 2 | 275 | 35.97 |
| William Arrighi | 3 | 8 | 0.90 |