Name
Abstract | ||
|---|---|---|
Scientific workflows are becoming more popular in the research community, due to their ease of creation and use, and because of the benefits of repeatability of such workflows. In this paper we investigate the benefits of workflows in a genomics experiment which requires intensive computing as well as parallelization, and show that substantial optimizations in rule redundancy reduction can be achieved by simple workflow parallelization. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-16558-0_25 | ISoLA (1) |
Keywords | Field | DocType |
research community,scientific workflows,subgroup discovery,permutation testing,intensive computing,simple workflow parallelization,rule redundancy reduction,genomics experiment,substantial optimizations,permutation test | Data mining,Computer science,Permutation,Redundancy (engineering),Workflow,RDF | Conference |
Volume | ISSN | ISBN |
6415 | 0302-9743 | 3-642-16557-5 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeroen S. de Bruin | 1 | 54 | 14.32 |
| Joost N. Kok | 2 | 1429 | 121.49 |