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» Teaching data modeling: process and patterns
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DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
14 years 1 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
3DIM
2003
IEEE
14 years 1 months ago
Efficient Surface Reconstruction from Range Curves
This paper proposes an approach for surface reconstruction of free-form rigid objects from an arbitrary set of intersecting range curves. A strategy for updating the reconstructed...
Dragan Tubic, Patrick Hébert, Denis Laurend...
ENVSOFT
2007
108views more  ENVSOFT 2007»
13 years 10 months ago
Modeling biocomplexity - actors, landscapes and alternative futures
: Increasingly, models (and modelers) are being asked to address the interactions between human influences, ecological processes, and landscape dynamics that impact many diverse as...
John P. Bolte, David W. Hulse, Stanley V. Gregory,...
ICONIP
2007
13 years 11 months ago
Automatic Factorization of Biological Signals Measured by Fluorescence Correlation Spectroscopy Using Non-negative Matrix Factor
− This paper proposes an automatic factorization method of the biological signals measured by Fluorescence Correlation Spectroscopy (FCS). Since the signals are composed from sev...
Kenji Watanabe, Takio Kurita
ISNN
2005
Springer
14 years 3 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang