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Niah supports k-anonymity statistical disclosure control assessments
Niah is a simple java tool for use in statistical disclosure control risk assessments. It implements the k-anonymity model of disclosure risk for data in csv in format.
This work was developed as part of a PhD project at the University of Glasgow and during an internship with the Scottish Government.
This is a simple application designed to allow managers in a clinical setting to record and track an employees infectious diseases. The info could then be used for statistical analysis and for the prevention of future infections.
This is a Python package designed to process Penn Treebank Release II-style combined trees (.mrg files) into useful objects for tree traversal, feature extraction, and statistical analysis. For more information, go to http://mrgutils.sourceforge.net