Hybrid CART-ANFIS approach for privacy preserving anonymization technique

Several organizations publish their microdata containing various information. It contains individual´s private data which is distinguishable and disclosure of this data may lose individual´s privacy. Privacy preserving data mining (PPDM) is used to get desired data mining results without compromising the privacy. The existing system approach dataset complementation approach takes more storage than required and it is suitable for only play-tennis data. Therefore, new annonymization approach is used instead of it. Similarly, the modified ID3 algorithm also suitable for play-tennis data only besides it does not support numeric and missing data. Therefore, CART is used in proposed work instead of it. But, it has its own limitation of deriving overgrown tree and choosing a splitting attribute more than one time at different level of tree, therefore hybrid CART-ANFIS approach is used to get almost accurate result.