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» Quantitative Association Analysis Using Tree Hierarchies
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CLA
2007
15 years 1 months ago
Inducing Decision Trees via Concept Lattices
The paper presents a new method of decision tree induction based on formal concept analysis (FCA). The decision tree is derived using a concept lattice, i.e. a hierarchy of cluster...
Radim Belohlávek, Bernard De Baets, Jan Out...
BMCBI
2007
123views more  BMCBI 2007»
14 years 11 months ago
Metabonomics evaluations of age-related changes in the urinary compositions of male Sprague Dawley rats and effects of data norm
Background: Urine from male Sprague-Dawley rats 25, 40, and 80 days old was analyzed by NMR and UPLC/MS. The effects of data normalization procedures on principal component analys...
Laura K. Schnackenberg, Jinchun Sun, Parvaneh Espa...
EDBT
2006
ACM
266views Database» more  EDBT 2006»
15 years 11 months ago
From Analysis to Interactive Exploration: Building Visual Hierarchies from OLAP Cubes
We present a novel framework for comprehensive exploration of OLAP data by means of user-defined dynamic hierarchical visualizations. The multidimensional data model behind the OLA...
Svetlana Vinnik, Florian Mansmann
IADIS
2008
15 years 1 months ago
Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
SAC
2005
ACM
15 years 5 months ago
Formal modeling and quantitative analysis of KLAIM-based mobile systems
KLAIM is an experimental language designed for modeling and programming distributed systems composed of mobile components where distribution awareness and dynamic system architect...
Rocco De Nicola, Diego Latella, Mieke Massink