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» Validating associations in biological databases
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EDCC
2010
Springer
14 years 2 months ago
Comparing and Validating Measurements of Dependability Attributes
—This paper investigates sources of uncertainty in measurement results obtained using three different fault injection techniques. Two software-implemented and one test port-based...
Daniel Skarin, Raul Barbosa, Johan Karlsson
BMCBI
2006
124views more  BMCBI 2006»
13 years 10 months ago
The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microa
Background: The Tissue Microarray (TMA) facilitates high-throughput analysis of hundreds of tissue specimens simultaneously. However, bottlenecks in the storage and manipulation o...
Catherine M. Conway, Deirdre O'Shea, Sallyann O'Br...
CANDC
2004
ACM
13 years 9 months ago
The iProClass integrated database for protein functional analysis
Increasingly, scientists have begun to tackle gene functions and other complex regulatory processes by studying organisms at the global scales for various levels of biological org...
Cathy H. Wu, Hongzhan Huang, Anastasia N. Nikolska...
ISSTA
2006
ACM
14 years 3 months ago
Role-Based access control consistency validation
Modern enterprise systems support Role-Based Access Control (RBAC). Although RBAC allows restricting access to privileged operations, a deployer may actually intend to restrict ac...
Paolina Centonze, Gleb Naumovich, Stephen J. Fink,...
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang