… Data mining enables us to discover information we do not expect to nd in databases. This
can be a security/privacy issue: If we make information available, are we perhaps giving out …

… for future data mining research will be the development of techniques that incorporate privacy
… Since the primary task in data mining is the development of models about aggregated …

… in the process of data collecting, data publishing, and information (ie the data mining
results) delivering. In this paper, we view the privacy issues related to data mining from a wider …

… in existing masses of data. This article reviews what data mining technology can do and
asks and answers the question, "Is data mining a violation of privacy which ought to be limited …

… privacy in data mining has emerged as an absolute prerequisite for exchanging confidential
information in terms of data … of data from disclosure often results utter rejection in data …

… to cooperate by computing a data mining algorithm on the union of … We show how the involved
data mining problem of decision … Confidentiality Issues in Data Mining. A key problem that …

… This may consist on using data transformation … the privacy-utility tradeoff of more evolved
data mining techniques, such as the privacy models of Table II and the more classical data …

… We show how the involved data mining problem of decision tree learning can be efficiently
computed, with no party learning anything other than the output itself. We demonstrate this on …

… Therefore, there is great value in data mining solutions that provide reliable privacy … consider
data mining within the framework of differential privacy [7, 9]. Basically, differential privacy …

… privacy preserving data mining, and analyze some works in this field. Data distortion method
for achieving privacy … methods of data mining for privacy protection, our privacy preserving …