| Name | Type | Multiplicity | Description |
|---|---|---|---|
| sensitivity |
property double |
[0,1] | Sensitivity of the detection process. |
| minRolesOccupancy |
property int |
[0,1] | Define the minimum required count of roles occupancy for detected patterns. |
| minUserOccupancy |
property int |
[0,1] | Define the minimum required count of users occupancy for detected patterns. |
| frequencyRange |
property RangeType |
[0,1] | Minimum and maximum required frequency. |
| standardDeviation |
property RangeType |
[0,1] | Serves as a confidence interval, providing a measure of statistical certainty by defining how much the values deviate from the mean. |
| frequencyThreshold |
property double |
[0,1] | Frequency threshold used for detection. |
| detectionProcessMode |
property RoleAnalysisDetectionProcessType |
[0,1] | Option for executing detection pattern. |
Flags: RAM,runtime
Multiplicity: [0,1]
Sensitivity of the detection process. This parameter influences the confidence threshold for
identifying outliers. For instance, only those outliers with a confidence level
above (100 - sensitivity) are considered valid outliers.
Additionally, the sensitivity parameter affects the range settings used for anomaly detection.
The range is adjusted by the formula: range_value * (1 + sensitivity).
Flags: RAM,runtime
Multiplicity: [0,1]
Define the minimum required count of roles occupancy for detected patterns.
Flags: RAM,runtime
Multiplicity: [0,1]
Define the minimum required count of users occupancy for detected patterns.
Flags: RAM,runtime
Multiplicity: [0,1]
Minimum and maximum required frequency. If the condition is not met, the objects are not included in the
detection (search).
In the case of USER MODE - frequency of application of roles (properties)
due to processed members(users)
In the case of ROLE MODE - frequency of disposition of users (properties)
due to processed members(roles)
Frequency expresses the percentage value of occupancy.
It refers to the number of occurrences of properties over cluster members.
Flags: RAM,runtime
Multiplicity: [0,1]
Serves as a confidence interval,
providing a measure of statistical certainty by defining how much the values deviate
from the mean. A lower standard deviation indicates that data points are closely clustered
around the mean, while a higher value suggests a wider range of dispersion.
Flags: RAM,runtime
Multiplicity: [0,1]
Frequency threshold used for detection.
If the condition is not met, then the objects are excluded.
Flags: RAM,runtime,AVals:3
Multiplicity: [0,1]
Option for executing detection pattern.