Name
Abstract | ||
|---|---|---|
The outcome of a test of an application that stores data in a database naturally depends on the state of the database. It is therefore important that test developers are able to set up and tear down database states in a simple and efficient manner. In ... |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IDEAS.2006.14 | IDEAS |
Keywords | Field | DocType |
test developer,decision trees,stores data,efficient manner,database state,image classification,random forest,image resolution,decision tree,breast cancer,high resolution,cancer | Decision tree,Data mining,Breast cancer,Medical imaging,Computer science,Artificial intelligence,Classifier (linguistics),Contextual image classification,Random forest,Mammography,Computer vision,Pattern recognition,Low Dose Radiation | Conference |
ISSN | ISBN | Citations |
1098-8068 | 0-7695-2577-6 | 8 |
PageRank | References | Authors |
0.60 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Vibha | 1 | 10 | 1.44 |
| G M. Harshavardhan | 2 | 10 | 1.10 |
| K Pranaw | 3 | 10 | 1.10 |
| P. Deepa Shenoy | 4 | 117 | 15.23 |
| K. R. Venugopal | 5 | 267 | 48.80 |
| L M Patnaik | 6 | 1617 | 198.06 |