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» Multidimensional Data Modeling for Business Process Analysis
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117
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ICASSP
2011
IEEE
14 years 7 months ago
Detecting oscillating singularities in multifractal analysis: Application to hydrodynamic turbulence
Multifractal analysis describes data as a collection of singularities. However, its classical formulation does not account for their possibly oscillating nature, while, in a numbe...
Patrice Abry, Stéphane G. Roux, Stép...
157
Voted
JCB
2007
191views more  JCB 2007»
15 years 3 months ago
Bayesian Haplotype Inference via the Dirichlet Process
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
Eric P. Xing, Michael I. Jordan, Roded Sharan
WSC
2007
15 years 5 months ago
Towards a conceptual framework for visual analytics of time and time-oriented data
Time is an important data dimension with distinct characteristics that is common across many application domains. This demands specialized methods in order to support proper analy...
Wolfgang Aigner, Alessio Bertone, Silvia Miksch, C...
166
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Statistical analysis of multi-channel detection using data from airborne AESA radar
We investigate the ground clutter homogeneity and target detection performance using airborne multi-channel AESA (Active Electronically Scanned Array) radar data from flight trial...
Johan Degerman, Thomas Pernstal, Magnus Gisselfalt...
WWW
2007
ACM
16 years 4 months ago
Effort estimation: how valuable is it for a web company to use a cross-company data set, compared to using its own single-compan
Previous studies comparing the prediction accuracy of effort models built using Web cross- and single-company data sets have been inconclusive, and as such replicated studies are ...
Emilia Mendes, Sergio Di Martino, Filomena Ferrucc...