Self-organising data mining

Authors:
F. Lemke;J.-A. Müller
Affiliations:
Knowledge Miner Software Berlin;University of Applied Sciences Dresden (HTW), FB Informatik/Mathematik, Friedrich-List-Platz 1, D-01069 Dresden, Germany
Venue:
Systems Analysis Modelling Simulation
Year:
2003

Citing 3
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Abstract

In the article is described the possibility to automate by means of application of self-organisation and other principles more or less the whole data mining process, what we have named self-organising data mining. There are different GMDH-based modelling algorithms implemented - dimensionality reduction, missing value elimination, active neurons, enhanced network synthesis and creation of systems of equations, validation, combining of alternative models - to make knowledge extraction objective, fast and easy-to-use even for large and complex systems.