719 search results - page 110 / 144 » Data Mining Application in Higher Learning Institutions |
ICSE
2004
IEEE-ACM
16 years 2 months ago
2004
IEEE-ACM
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...
109
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
144
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ML
2010
ACM
14 years 8 months ago
2010
ACM
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
121
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KDD
2005
ACM
16 years 2 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
134
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SDM
2009
SIAM
15 years 11 months ago
2009
SIAM
Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computat...