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» Peer-to-Peer Data Mining, Privacy Issues, and Games
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DASFAA
2004
IEEE
164views Database» more  DASFAA 2004»
13 years 8 months ago
On Addressing Efficiency Concerns in Privacy-Preserving Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to...
Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa
DMKD
2004
ACM
136views Data Mining» more  DMKD 2004»
13 years 10 months ago
Mining association rules with non-uniform privacy concerns
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
Yi Xia, Yirong Yang, Yun Chi
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
13 years 10 months ago
Privacy Preserving Nearest Neighbor Search
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
Mark Shaneck, Yongdae Kim, Vipin Kumar
SIGKDD
2008
138views more  SIGKDD 2008»
13 years 4 months ago
PinKDD'08: privacy, security, and trust in KDD post workshop report
This report summarizes the events of the 2nd International Workshop on Privacy, Security, and Trust in KDD, at the 14th ACM SIGKDD International Conference on Knowledge Discovery ...
Francesco Bonchi, Elena Ferrari, Wei Jiang, Bradle...
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
14 years 5 months ago
When do data mining results violate privacy?
Privacy-preserving data mining has concentrated on obtaining valid results when the input data is private. An extreme example is Secure Multiparty Computation-based methods, where...
Murat Kantarcioglu, Jiashun Jin, Chris Clifton