KEYWORDS: Fuzzy logic, Data mining, Databases, Data processing, Data hiding, Data centers, Information security, Security technologies, Information technology, Statistical analysis
With the rapid development of information techniques, data mining approaches have become one of the most
important tools to discover the in-deep associations of tuples in large-scale database. Hence how to protect the private
information is quite a huge challenge, especially during the data mining procedure. In this paper, a new method is
proposed for privacy protection which is based on fuzzy theory. The traditional fuzzy approach in this area will apply
fuzzification to the data without considering its readability. A new style of obscured data expression is introduced to
provide more details of the subsets without reducing the readability. Also we adopt a balance approach between the
privacy level and utility when to achieve the suitable subgroups. An experiment is provided to show that this approach is
suitable for the classification without a lower accuracy. In the future, this approach can be adapted to the data stream as
the low computation complexity of the fuzzy function with a suitable modification.
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