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ISBRA
2009
Springer
14 years 3 months ago
Practical Quality Assessment of Microarray Data by Simulation of Differential Gene Expression
There are many methods for assessing the quality of microarray data, but little guidance regarding what to do when defective data is identified. Depending on the scientific questio...
Brian E. Howard, Beate Sick, Steffen Heber
VLSI
2005
Springer
14 years 1 months ago
Combined Test Data Selection and Scheduling for Test Quality Optimization under ATE Memory Depth Constraint
1 The increasing test data volume required to ensure high test quality when testing a System-on-Chip is becoming a problem since it (the test data volume) must fit the ATE (Automa...
Erik Larsson, Stina Edbom
HPDC
2010
IEEE
13 years 9 months ago
Towards long term data quality in a large scale biometrics experiment
Quality of data plays a very important role in any scientific research. In this paper we present some of the challenges that we face in managing and maintaining data quality for a...
Hoang Bui, Diane Wright, Clarence Helm, Rachel Wit...
CLEANDB
2006
ACM
163views Database» more  CLEANDB 2006»
14 years 2 months ago
Circumventing Data Quality Problems Using Multiple Join Paths
We propose the Multiple Join Path (MJP) framework for obtaining high quality information by linking fields across multiple databases, when the underlying databases have poor qual...
Yannis Kotidis, Amélie Marian, Divesh Sriva...
IQ
2007
13 years 10 months ago
Data Quality Aspects Of Revenue Assurance
: Revenue Assurance describes a methodology to increase a company’s income by determining where revenue gets lost, and to maximize their profits by eliminating revenue leakage an...
Katharina Baamann