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CIBCB
2009
IEEE
15 years 7 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 6 months ago
A new scheme on privacy-preserving data classification
We address privacy-preserving classification problem in a distributed system. Randomization has been the approach proposed to preserve privacy in such scenario. However, this appr...
Nan Zhang 0004, Shengquan Wang, Wei Zhao
SAC
2004
ACM
15 years 12 months ago
Knowledge discovery from doctor-patient relationship
The relationship between doctors and their patients is gaining more and more importance in the health care providing. It determines the compliance of the treatment and a part of t...
Jesús S. Aguilar-Ruiz, Raquel Costa, Federi...
IHI
2010
198views Healthcare» more  IHI 2010»
15 years 1 months ago
Large-scale multimodal mining for healthcare with mapreduce
Recent advances in healthcare and bioscience technologies and proliferation of portable medical devices are producing massive amounts of multimodal data. The need for parallel pro...
Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mah...
KDD
2010
ACM
232views Data Mining» more  KDD 2010»
15 years 10 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...