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» Rule-Based Measurement Of Data Quality In Nominal Data
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CCE
2007
15 years 6 months ago
A systematic approach for soft sensor development
This paper presents a systematic approach based on robust statistical techniques for development of a data-driven soft sensor, which is an important component of the process analy...
Bao Lin, Bodil Recke, Jørgen K. H. Knudsen,...
IDEAL
2000
Springer
15 years 10 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
DAC
2004
ACM
16 years 7 months ago
Defining coverage views to improve functional coverage analysis
Coverage analysis is used to monitor the quality of the verification process. Reports provided by coverage tools help users identify areas in the design that have not been adequat...
Sigal Asaf, Eitan Marcus, Avi Ziv
VLDB
2005
ACM
146views Database» more  VLDB 2005»
16 years 6 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
SEAA
2008
IEEE
16 years 20 days ago
Defect Prediction using Combined Product and Project Metrics - A Case Study from the Open Source "Apache" MyFaces Project Family
The quality evaluation of open source software (OSS) products, e.g., defect estimation and prediction approaches of individual releases, gains importance with increasing OSS adopt...
Dindin Wahyudin, Alexander Schatten, Dietmar Winkl...