The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).
If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.
Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.
Protection of data in data mining involves preserving sensitive data and sensitive knowledge. Preserving sensitive data focus on protecting the data when it is shared for mining with third parties. In some situations even the result of data mining techniques might reveal sensitive information. This area of research which focuses on output preservation of data mining techniques is termed as Preserving Sensitive Knowledge. The sensitive results of data mining are preserved by reducing the efficiency of the result. In this paper, an empirical study on existing sensitive knowledge preservation approaches is discussed. The approaches include rule hiding in association rule mining and classification technique. The output data protection also includes the restriction in query processing. The article highlights the merits and demerits on each approach.