An Extended Method for Privacy Preserving Association Rule Mining

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
The protection of information from illegal access has been a long term goal for businesses and government organizations. Recent progresses in the field of the data mining algorithms have expands the risk while releasing data outside. The key problem is not still inspected; there is the need to balance privacy of disclosed data with the appropriate need of data users. Every disclosure method affects the data and modifies true value and relationship. In this paper the authors remove this drawback. In other techniques non-sensitive rules hidden (falsely) as a side effect and artificial rules falsely generated in other rule hiding techniques.
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