In this paper, we generalize existing fundamental limitations on the accuracy of the estimation of dynamic models. In addition, we study the large sample statistical behavior of different estimation-based controller design strategies. In particular, fundamental limitations on the closed-loop perform
Semantic-based aggregation for statistical disclosure control
✍ Scribed by Aïda Valls; Vicenç Torra; Josep Domingo
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 123 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper we show how clustering can be used to aggregate different versions of the same data set in order to discover confidential information. Having these tools helps to not publish data that could be reidentified, which is known as Statistical Disclosure Control. In particular, the paper is focused on the case of dealing with categorical values.
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