| Error analysis method |
Data status |
Applicable dimensions |
Tasks |
Computational complexity |
| |
|
|
|
|
| Plots |
raw |
x,y,z,a,t |
detection |
low |
| Consistency checks |
raw |
x,y,z,a,t |
detection |
low |
| Ground truth checks |
processed |
x,y,z,a |
detection, evaluation |
low |
| Adjustment computation |
raw |
x,y,z |
detection evaluation |
low-moderate |
| Cross validation |
processed |
{x,y, z,a} |
evaluation |
moderate |
| Fuzzy classification |
processed |
{x,y,z,a} |
evaluation |
moderate |
| Simulation |
processed |
x,y,z,a,t |
detection evaluation |
high |
Table 1. Provides a basis for associating error
analysis methods with particular data set and context characteristics.