A survey on a privacy preserving technique using k-means clustering algorithm

Data Mining

In many organizations large amount of data are collected. These data are sometimes used by the organizations for data mining tasks. However, the data collected may contain private or sensitive information which should be protected. Privacy protection is an important issue if we release data for the mining or sharing purpose. There are various techniques that protect the sensitive data with less information loss which increase data usability and also prevent the sensitive data for various types of attack. Various comprehensive experiments on real as well as synthetic datasets show that they are effective and provide moderate privacy .Clustering based noise techniques that not only preserve the privacy but also ensure effective data mining.

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