Anonymity-preserving data collection

@inproceedings{Yang2005AnonymitypreservingDC,
  title={Anonymity-preserving data collection},
  author={Zhiqiang Yang and Sheng Zhong and Rebecca N. Wright},
  booktitle={KDD},
  year={2005}
}
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in individuals either refusing to share their data or providing incorrect data. In turn, such problems in data collection can affect the success of data mining, which relies on sufficient amounts of accurate data in order to produce meaningful results. Random perturbation and randomized response techniques can provide some… CONTINUE READING
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