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» Distributed Data Mining Models as Services on the Grid
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ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
16 years 22 days ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan
PET
2012
Springer
13 years 8 months ago
Fault-Tolerant Privacy-Preserving Statistics
Real-time statistics on smart meter consumption data must preserve consumer privacy and tolerate smart meter failures. Existing protocols for this private distributed aggregation m...
Marek Jawurek, Florian Kerschbaum
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
16 years 6 months ago
Workload-aware anonymization
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
CCGRID
2007
IEEE
16 years 23 days ago
Parameter Sweeps for Functional MRI Research in the "Virtual Laboratory for e-Science" Project
Image analysis is an important component of neuroscience research. The ICT infrastructure and technical knowledge needed to perform (large scale) neuroimaging studies, however, is...
Sílvia Delgado Olabarriaga, Aart J. Nederve...
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 7 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...