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 ...
- 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...
: 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...
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...
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...