K. Thearling, Data mining andprivacy: A conflict in making,DS Home/Search Document Not in Database Summary Related Articles Check |
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Limiting Privacy Breaches in Privacy Preserving Data Mining - Evfimievski, Gehrke, Srikant (2003) (5 citations) (Correct)
....mation have emerged globally [6, 8, 15] The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non obvious information from large databases, is particularly vulnerable to misuse [5, 7, 15, 20]. The concept of privacy preserving data mining has been recently been proposed in response to the above concerns [3, 13] There have been two broad approaches. The randomization approach focuses on individual privacy, and reveals randomized information about each record in exchange for not ....
K. Thearling. Data mining and privacy: A conflict in making. DS*, March 1998.
Limiting Privacy Breaches in Privacy Preserving Data Mining - Evfimievski, Gehrke, Srikant (2003) (5 citations) (Correct)
....mation have emerged globally [6, 8, 15] The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non obvious information from large databases, is particularly vulnerable to misuse [5, 7, 15, 20]. The concept of privacy preserving data mining has been recently been proposed in response to the above concerns [3, 13] There have been two broad approaches. The randomization approach focuses on individual privacy, and reveals randomized information about each record in exchange for not having ....
K. Thearling. Data mining and privacy: A conflict in making. DS*, March 1998.
Privacy Preserving Mining of Association Rules - Evfimievski, Srikant.. (2002) (48 citations) (Correct)
....[10] 13] 14] 27] 28] 29] The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non obvious information from large databases, is particularly vulnerable to misuse [11] 16] 20] [23]. An interesting new direction for data mining research is the development of techniques that incorporate privacy concerns [3] The following question was raised in [7] since the Department of Computer Science Cornell University, Ithaca, NY 14853, USA Permission to make digital or hard ....
K. Thearling. Data mining and privacy: A conflict in making. DS*, March 1998.
Privacy-Preserving Data Mining - Agrawal, Srikant (2000) (98 citations) (Correct)
....[Wes98b] Wes99] CRA99a] Cra99b] The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non obvious information from large databases, is particularly vulnerable to misuse [CM96] The98] Off98] ECB99] A fruitful direction for future research in data mining will be the development of techniques that incorporate privacy concerns [Agr99] Specifically, we address the following question. Since the primary task in data mining is the development of models about aggregated data, ....
Kurt Thearling. Data mining and privacy: A conflict in making. DS*, March 1998.
InformationSnform - Privacy Preserving Mining (2004) (Correct)
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K. Thearling, Data mining andprivacy: A conflict in making,DS
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