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132
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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 9 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
15 years 10 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
243
Voted
ICDE
2006
IEEE
206views Database» more  ICDE 2006»
16 years 4 months ago
Query Co-Processing on Commodity Hardware
The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications. Researchers have acti...
Anastassia Ailamaki, Naga K. Govindaraju, Dinesh M...
173
Voted
DAWAK
2009
Springer
15 years 7 months ago
Visual Modelling of Data Warehousing Flows with UML Profiles
Data warehousing involves complex processes that transform source data through several stages to deliver suitable information ready to be analysed. Though many techniques for visua...
Jesús Pardillo, Matteo Golfarelli, Stefano ...
120
Voted
CORR
2007
Springer
151views Education» more  CORR 2007»
15 years 3 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont