[midPoint-git] [Evolveum/midpoint] d19db3: Role analysis improve outlier detection
Tadeas Chrapovic
noreply at github.com
Mon Jul 22 15:07:31 CEST 2024
Branch: refs/heads/feature/role-mining
Home: https://github.com/Evolveum/midpoint
Commit: d19db3f8ba93cb67cca1c22831f3db56adac6d3e
https://github.com/Evolveum/midpoint/commit/d19db3f8ba93cb67cca1c22831f3db56adac6d3e
Author: tchrapovic <chrapovic.tadeas at gmail.com>
Date: 2024-07-22 (Mon, 22 Jul 2024)
Changed paths:
A infra/common/src/main/java/com/evolveum/midpoint/common/mining/objects/analysis/AttributePathResult.java
M model/model-api/src/main/java/com/evolveum/midpoint/model/api/mining/RoleAnalysisService.java
M model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/RoleAnalysisServiceImpl.java
M model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/algorithm/cluster/action/context/ClusteringActionExecutor.java
M model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/algorithm/cluster/action/util/outlier/BasicOutlierDetectionStrategy.java
M model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/algorithm/cluster/action/util/outlier/ClusteringOutlierDetectionStrategy.java
M model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/algorithm/cluster/action/util/outlier/OutlierDetectionStrategy.java
M model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/algorithm/cluster/action/util/outlier/OutlierDetectionStrategyResolver.java
M model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/algorithm/cluster/action/util/outlier/OutliersDetectionUtil.java
M model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/algorithm/cluster/action/util/outlier/context/OutlierDetectionActionExecutor.java
M model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/analysis/AttributeAnalysisUtil.java
R model/model-impl/src/main/java/com/evolveum/midpoint/model/impl/mining/analysis/AttributePathResult.java
Log Message:
-----------
Role analysis improve outlier detection
2. Leverages role analysis for more effective outlier identification.
2. Potentially achieves significant speed improvements in outlier detection.
3. This is an experimental change. Further evaluation is needed
(marked with a TODO label).
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