A New Approach to Maintain Privacy and Accuracy in Classification Data Mining

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Provided by: International Journal of Computer Science & Engineering Technology (IJCSET)
Topic: Big Data
Format: PDF
Privacy preserving classified data mining is one of the latest technical fields of data mining in recent years. Transforming the original data in order to maintain accuracy if the authors apply classification mining on original and transformed data is the key point of the privacy preservation. It is well known that data mining is a powerful data analysis tool enabling discovery of useful patterns in several applications. The availability of large data warehouses and associated technologies reveal that the usefulness of data requires preservation of individual key attributes such as patient's condition information, customer preferences, personal background information etc.
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