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In privacy-preserving data publishing techniques, such as k-anonymity, the goal is precisely to find countermeasures to this attack, and to release person-specific data in such a way that the ability to link to other information using the quasi-identifier(s) is limited.
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Conclusion: Results indicated excellent reliability of radiographic analysis techniques and represented an improvement over previously published techniques.
We evaluate several published techniques to detect multiple outliers in linear regression using an extensive Monte Carlo simulation.
To validate the effectiveness of the method, it has been tested on practical power systems with comparisons to published techniques.
Although most of the techniques used in this project are taken from the existing literature, the scale of our datasets precludes the use of many published techniques.
This gives the new method considerable intuitive appeal and allows it to avoid the lengthy optimization procedures which are typical for the previously published techniques.
Time domain simulation of transient responses indicates that the designed controller operates satisfactorily to deal with the GDB nonlinearity and outperform other published techniques.
The purpose of this paper is to summarize the published techniques related to the multi-population methods in nature-inspired optimization algorithms.
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