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» Embedding Heterogeneous Data Using Statistical Models
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ER
2006
Springer
89views Database» more  ER 2006»
15 years 4 months ago
A UML Profile for Modeling Schema Mappings
When trying to obtain semantical interoperability between different information systems, the integration of heterogeneous information sources is a fundamental task. An important st...
Stefan Kurz, Michael Guppenberger, Burkhard Freita...
WINE
2005
Springer
268views Economy» more  WINE 2005»
15 years 6 months ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai
IJCAI
2007
15 years 1 months ago
Change of Representation for Statistical Relational Learning
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such as that stored in a relational database. We previously introduced view learnin...
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S...
114
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BMCBI
2007
101views more  BMCBI 2007»
15 years 19 days ago
Statistical validation of megavariate effects in ASCA
Background: Innovative extensions of (M) ANOVA gain common ground for the analysis of designed metabolomics experiments. ASCA is such a multivariate analysis method; it has succes...
Daniel J. Vis, Johan A. Westerhuis, Age K. Smilde,...
DKE
2007
82views more  DKE 2007»
15 years 15 days ago
Eliciting information for product modeling using process modeling
A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/...
Ghang Lee, Charles M. Eastman, Rafael Sacks