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» Using Rough Sets as Tools for Knowledge Discovery
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CINQ
2004
Springer
225views Database» more  CINQ 2004»
15 years 3 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
ECIS
2000
14 years 11 months ago
Enhancing Government Decision Making Through Knowledge Discovery from Data
- A major challenge facing management in developed countries is improving the performance of knowledge and service workers, i.e. the decision makers. In a developing country such a...
Herna L. Viktor, Heidi Arndt, Mauritz Oberholzer
JSAI
2001
Springer
15 years 2 months ago
Medical Knowledge Discovery on the Meningoencephalitis Diagnosis Studied by the Cascade Model
: The cascade model is a rule induction methodology that uses level-wise expansion of a lattice. An attribute-value pair is expressed as an item, and every node in the lattice is s...
Takashi Okada
BMCBI
2006
127views more  BMCBI 2006»
14 years 10 months ago
Automatic discovery of cross-family sequence features associated with protein function
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
Markus Brameier, Josien Haan, Andrea Krings, Rober...
PKDD
2001
Springer
108views Data Mining» more  PKDD 2001»
15 years 2 months ago
Knowledge Discovery in Multi-label Phenotype Data
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
Amanda Clare, Ross D. King