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Relational_Transaction_Anon

Introduction

Relational_Transaction_Anon is data anonymization algorithm for Relational and Transaction dataset, proposed by Poulis in his papers[1] in ECML2013 Sep. Poulis gave the pseudocode in his papers, the source code (C++ implement) is not available.

This repository is just an open source python implement for Relational_Transaction_Anon. I implement this algorithm in python for further study.

Motivation

Researches on data privacy have lasted for more than ten years, lots of great papers have been published. However, only a few open source projects are available on Internet[2-3], most open source projects are using algorithms proposed before 2004! Fewer projects have been used in real life. Worse more, most people even don't hear about it. Such a tragedy!

I decided to make some effort. Hoping these open source repositories can help researchers and developers on data privacy (privacy preserving data publishing).

References

[1] Poulis, G.; Loukides, G.; Gkoulalas-Divanis, A. & Skiadopoulos, S. Anonymizing data with relational and transaction attributes. ECML/PKDD 2013

[2] UTD Anonymization Toolbox

[3] ARX- Powerful Data Anonymization

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This repository is an python implement of Relation and Transaction Anonymization for Relational and Transaction dataset anonymization.

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