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» Using Data Mining for Wine Quality Assessment
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ICSE
2004
IEEE-ACM
16 years 3 months ago
An Empirical Study of Software Reuse vs. Defect-Density and Stability
The paper describes results of an empirical study, where some hypotheses about the impact of reuse on defect-density and stability, and about the impact of component size on defec...
Parastoo Mohagheghi, Reidar Conradi, Ole M. Killi,...
153
Voted
AINA
2009
IEEE
15 years 10 months ago
Multi-node Processing for Asymmetrical Communications in Underwater Acoustic Networks
— Underwater acoustic communication networks have attracted attention for its applications in many areas such as mine warfare, rapid environmental assessment or search and rescue...
Antonio Silva, Julien Huillery, Sergio M. Jesus
115
Voted
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
15 years 9 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein
121
Voted
ICSE
2009
IEEE-ACM
15 years 10 months ago
Automated substring hole analysis
Code coverage is a common measure for quantitatively assessing the quality of software testing. Code coverage indicates the fraction of code that is actually executed by tests in ...
Yoram Adler, Eitan Farchi, Moshe Klausner, Dan Pel...
325
Voted
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 5 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim