DiLES

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Contents

1 Description
2 Contributors
3 Software
4 Datasets
5 Publication

Description

DiLES is a disclosure learning evaluation system. It has been developed as part of the thesis Privacy Management in Smart Environments by Christian Bünnig (the thesis is currently in the review process).

Contributors

Christian Bünnig

Software

Latest version: https://opsci.informatik.uni-rostock.de/repos/software/DiLES/diles-20120831.tgz

Datasets

The DiLES system has been used to evaluate machine learning methods on two scenarios - a manually composed scenario and a scenario generated from a DiHabs survey.

Scenario specifications https://opsci.informatik.uni-rostock.de/repos/datasets/DiLES/Scenario-Specifications/
Evaluation results (illustrated) https://opsci.informatik.uni-rostock.de/repos/datasets/DiLES/Evaluation-Results/Plots/
Evaluation results (raw) https://opsci.informatik.uni-rostock.de/repos/datasets/DiLES/Evaluation-Results/

Publication

Dissertation thesis: http://katalog.ub.uni-rostock.de/DB=1/XMLPRS=N/PPN?PPN=750563060

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