Releases
v3.7.0
New Features
Core: Added method for clustering-based microaggregation
Core: Added method specifying for functional transformation rules for dates
Core: Added methods for risk assessment using wildcard matching
Core: Added methods for applying local data transformation schemes
Core: Added new types of privacy-preserving classification models
Core: Added new methods for analyzing the accuracy of privacy-preserving classification models
Core: New method for optimizing output data to improve the accuracy of privacy-preserving classification models
Core: New methods supporting the quantitative analysis of the quality of output data
GUI: Added wizard for creating transformation rules for dates
GUI: Added dialog for local data transformation, cell suppression and microaggregation
GUI: Added new views for visualizing accuracy estimates of classification models
GUI: New view for quantitative analyses of data quality
Enhancements
Core: Improved performance of t-closeness for ordered attributes
Core: Reduced memory consumption
GUI: Improved control over asynchronous analyses
GUI: Improved execution time estimates for long-running tasks
Various minor improvements
Bugfixes
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