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» Analysis of sampling techniques for association rule mining
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BMCBI
2011
12 years 11 months ago
Cell Subset Prediction for Blood Genomic Studies
Background: Genome-wide transcriptional profiling of patient blood samples offers a powerful tool to investigate underlying disease mechanisms and personalized treatment decisions...
Christopher R. Bolen, Mohamed Uduman, Steven H. Kl...
DASFAA
2007
IEEE
234views Database» more  DASFAA 2007»
14 years 1 months ago
Estimating Missing Data in Data Streams
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
Nan Jiang, Le Gruenwald
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 4 months ago
Speeding Up Secure Computations via Embedded Caching.
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
K. Zhai, W. K. Ng, A. R. Herianto, S. Han
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
13 years 5 months ago
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using mu...
Kristin Potter, Andrew Wilson, Peer-Timo Bremer, D...
ECMDAFA
2005
Springer
130views Hardware» more  ECMDAFA 2005»
14 years 27 days ago
Control Flow Analysis of UML 2.0 Sequence Diagrams
This article presents a control flow analysis methodology based on UML 2.0 sequence diagrams (SD). In contrast to the conventional code-based control flow analysis techniques, thi...
Vahid Garousi, Lionel C. Briand, Yvan Labiche