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» Using Bayesian networks to analyze expression data
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ESWS
2010
Springer
15 years 8 months ago
A Hybrid Model and Computing Platform for Spatio-semantic Trajectories
Abstract. Spatio-temporal data management has progressed significantly towards efficient storage and indexing of mobility data. Typically such mobility data analytics is assumed t...
Zhixian Yan, Christine Parent, Stefano Spaccapietr...
209
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ICML
2004
IEEE
16 years 4 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
BMCBI
2005
102views more  BMCBI 2005»
15 years 3 months ago
Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computatio
Background: A major challenge in computational genomics is the development of methodologies that allow accurate genome-wide prediction of the regulatory targets of a transcription...
Emmitt R. Jolly, Chen-Shan Chin, Ira Herskowitz, H...
RAID
1999
Springer
15 years 8 months ago
Audit logs: to keep or not to keep?
We approached this line of inquiry by questioning the conventional wisdom that audit logs are too large to be analyzed and must be reduced and filtered before the data can be anal...
Christopher Wee
IPSN
2004
Springer
15 years 9 months ago
The impact of spatial correlation on routing with compression in wireless sensor networks
The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. While several data aggregation (i.e., routing with...
Sundeep Pattem, Bhaskar Krishnamachari, Ramesh Gov...