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» A Framework for High-Accuracy Privacy-Preserving Mining
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PKDD
2007
Springer
120views Data Mining» more  PKDD 2007»
13 years 11 months ago
Privacy Preserving Market Basket Data Analysis
Randomized Response techniques have been empirically investigated in privacy preserving association rule mining. However, previous research on privacy preserving market basket data...
Ling Guo, Songtao Guo, Xintao Wu
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 7 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
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
2009
IEEE
223views Data Mining» more  ICDM 2009»
13 years 12 months ago
Differential Privacy for Clinical Trial Data: Preliminary Evaluations
—The concept of differential privacy as a rigorous definition of privacy has emerged from the cryptographic community. However, further careful evaluation is needed before we ca...
Duy Vu, Aleksandra Slavkovic
IDA
2009
Springer
13 years 12 months ago
Selecting Computer Architectures by Means of Control-Flow-Graph Mining
Abstract Deciding which computer architecture provides the best performance for a certain program is an important problem in hardware design and benchmarking. While previous approa...
Frank Eichinger, Klemens Böhm