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» Data Quality Requirements Analysis and Modeling
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BMCBI
2005
140views more  BMCBI 2005»
15 years 11 days ago
Dissecting systems-wide data using mixture models: application to identify affected cellular processes
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
J. Peter Svensson, Renée X. de Menezes, Ing...
AIPR
2006
IEEE
15 years 6 months ago
Data Fusion, De-noising, and Filtering to Produce Cloud-Free High Quality Temporal Composites Employing Parallel Temporal Map Al
Remotely sensed images from satellite sensors such as MODIS Aqua and Terra provide high temporal resolution and wide area coverage. Unfortunately, these images frequently include ...
Bijay Shrestha, Charles G. O'Hara, Preeti Mali
94
Voted
TSE
1998
115views more  TSE 1998»
15 years 3 days ago
Integration and Analysis of Use Cases Using Modular Petri Nets in Requirements Engineering
—It is well known that requirements engineering plays a critical role in software quality. The use case approach is a requirements elicitation technique commonly used in industri...
Woo Jin Lee, Sung Deok Cha, Yong Rae Kwon
84
Voted
AUTOMATICA
2004
77views more  AUTOMATICA 2004»
15 years 10 days ago
Non-asymptotic quality assessment of generalised FIR models with periodic inputs
In any real-life identification problem, only a finite number of data points is available. On the other hand, almost all results in stochastic identification pertain to asymptotic...
Marco C. Campi, Su Ki Ooi, Erik Weyer
DIS
2009
Springer
15 years 7 months ago
Using Data Mining for Wine Quality Assessment
Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e...
Paulo Cortez, Juliana Teixeira, António Cer...