Privacy preserving sub-feature selection in distributed data mining
It selects sub-feature data from data miner database. It preserves the privacy of each individual party's data during collaborative computation. The model collects the correct number of sub-feature data from different data set. Fuzzy random variables help to select sub-feature data for generating special class.
privacy distributed data mining fuzzy random variable feature selection fuzzy probability