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» Theoretical Frameworks for Data Mining
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CIBCB
2009
IEEE
13 years 8 months ago
A framework for the application of decision trees to the analysis of SNPs data
Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed inte...
Linda Fiaschi, Jonathan M. Garibaldi, Natalio Kras...
FUIN
2007
109views more  FUIN 2007»
13 years 7 months ago
Unifying Framework for Rule Semantics: Application to Gene Expression Data
Abstract. The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional dependencies in databases. Their s...
Marie Agier, Jean-Marc Petit, Einoshin Suzuki
IADIS
2008
13 years 9 months ago
Arch: Data Integration Framework Based on Rdfa and Usability Aspects
Lots of work has already been published on developing applications for schema or ontology matching. Most of these approaches do not take the usability aspect into account. This pa...
Christiane Dominovic
ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
13 years 5 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
PKDD
2005
Springer
136views Data Mining» more  PKDD 2005»
14 years 1 months ago
Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids
This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emerging Web Services Resourc...
Domenico Talia, Paolo Trunfio, Oreste Verta