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» Analysis of sampling techniques for association rule mining
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BMCBI
2011
14 years 7 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»
15 years 10 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»
16 years 1 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»
15 years 1 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»
15 years 9 months 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