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» Rule-Based Measurement Of Data Quality In Nominal Data
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KDD
2006
ACM
128views Data Mining» more  KDD 2006»
16 years 5 months ago
Workload-aware anonymization
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
DMIN
2006
103views Data Mining» more  DMIN 2006»
15 years 6 months ago
Modeling of the counter-examples and association rules interestingness measures behavior
Association rules discovery is one of the most important tasks in Knowledge Discovery in Data Bases. Since the initial APRIORI algorithm, many efforts have been done in order to de...
Benoît Vaillant, Stéphane Lallich, Ph...
162
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BMCBI
2007
133views more  BMCBI 2007»
15 years 4 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
WCRE
2009
IEEE
15 years 11 months ago
Enabling the Evolution of J2EE Applications through Reverse Engineering and Quality Assurance
Abstract—Enterprise Applications are complex software systems that manipulate much persistent data and interact with the user through a vast and complex user interface. In partic...
Fabrizio Perin
RAS
2008
135views more  RAS 2008»
15 years 4 months ago
Constructing dependable certainty grids from unreliable sensor data
-- Measurements from sensors as they are used for robotic grid map applications typically show behavior like degradation or discalibration over time, which affects the quality of t...
Wilfried Elmenreich