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. 2016 Apr 30;16:49. doi: 10.1186/s12911-016-0287-2

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© Prasser et al. 2016

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 7 — Converting the BFS algorithm to a heuristic de-identification method. Subfigure a shows that the relative time required to find the optimal transformation decreases significantly when the number of attributes is increased. Subfigure b shows that the quality of the solution increases very fast during the search process. Both properties of the BFS algorithm indicate that it delivers good results quickly, which makes it well suited as a heuristic strategy that terminates after a user-defined amount of time