Rough Set Based Privacy Preserving Attribute Reduction on Vertically Partitioned Data and Generation of Rules

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Provided by: International forum of researchers Students and Academician
Topic: Big Data
Format: PDF
Data mining is the process of extracting knowledge from various databases. For security reasons organizations may partition their data horizontally or vertically. Another situation is hospitals maintaining sensitive information about patients. This paper can also be treated as vertical partitioning of data if all the hospitals maintain data in the different format and maintain one common attribute. Secure multiparty technique is a cryptographic method which can be used to derive useful results from partitioned data bases without violating the privacy of individuals or organizations.
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