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DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 7 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
ACSW
2004
13 years 7 months ago
A Framework for Privacy Preserving Classification in Data Mining
Nowadays organizations all over the world are dependent on mining gigantic datasets. These datasets typically contain delicate individual information, which inevitably gets expose...
Zahidul Islam, Ljiljana Brankovic
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
14 years 14 days ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
DATE
2008
IEEE
119views Hardware» more  DATE 2008»
14 years 19 days ago
Guiding Circuit Level Fault-Tolerance Design with Statistical Methods
In the last decade, the focus of fault-tolerance methods has tended towards circuit level modifications, such as transistor resizing, and away from expensive system level redunda...
Drew C. Ness, David J. Lilja
DMIN
2006
138views Data Mining» more  DMIN 2006»
13 years 7 months ago
Quantification of a Privacy Preserving Data Mining Transformation
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
Mohammed Ketel