Privacy Preserving Data Mining: Comparion of Three Groups and Four Groups Randomized Response Techniques

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Provided by: Auricle Technologies
Topic: Big Data
Format: PDF
Privacy and accuracy are the important issues in data mining when data is shared. A fruitful direction for future data mining research will be the development of techniques that incorporate privacy concerns. Most of the methods use random permutation techniques to mask the data, for preserving the privacy of sensitive data. Randomize response techniques were developed for the purpose of protecting surveys privacy and avoiding biased answers. In randomized response technique adds certain degree of randomness to the answer to prevent the biased data.
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