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» Classes and clusters in data analysis
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SDM
2004
SIAM
163views Data Mining» more  SDM 2004»
15 years 6 months ago
Basic Association Rules
Previous approaches for mining association rules generate large sets of association rules. Such sets are difficult for users to understand and manage. Here, the concept of a restri...
Guichong Li, Howard J. Hamilton
BMCBI
2002
89views more  BMCBI 2002»
15 years 4 months ago
Sources of variability and effect of experimental approach on expression profiling data interpretation
Background: We provide a systematic study of the sources of variability in expression profiling data using 56 RNAs isolated from human muscle biopsies (34 Affymetrix MuscleChip ar...
Marina Bakay, Yi-Wen Chen, Rehannah H. A. Borup, P...
BMCBI
2008
173views more  BMCBI 2008»
15 years 4 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal
PLDI
2009
ACM
15 years 11 months ago
A weakest precondition approach to active attacks analysis
Information flow controls can be used to protect both data confidentiality and data integrity. The certification of the security degree of a program that runs in untrusted envi...
Musard Balliu, Isabella Mastroeni
IPCCC
2005
IEEE
15 years 10 months ago
Cluster-based input/output trace synthesis
I/O traces are crucial for understanding the performance of new storage architectures. Unfortunately, traces are extremely bursty and difficult to characterize. They are large, d...
Bo Hong, Tara M. Madhyastha, B. Zhang