Abstract
The growth of data mining has raised concerns among privacy advocates. Some of this is based on a misunderstanding of what data mining does. The previous chapters have shown how data mining concentrates on extraction of rules, patterns and other such summary knowledge from large data sets. This would not seem to inherently violate privacy, which is generally concerned with the release of individual data values rather than summaries.
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Clifton, C., Kantarcıoğlu, M., Vaidya, J. Privacy-Preserving Data Mining. In: Chu, W., Young Lin, T. (eds) Foundations and Advances in Data Mining. Studies in Fuzziness and Soft Computing, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11362197_11
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DOI: https://doi.org/10.1007/11362197_11
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Publisher Name: Springer, Berlin, Heidelberg
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