This paper describes an ongoing research project concerned with the application
of data mining (DM) in the context of Decision Support. Specifically, this project
combines data mining and artificial neural networks (ANN) in a computational
model for decision support. Data mining is applied to automatically induce expert
knowledge from the historical data and incorporate it into the decision model.
The resulting knowledge is represented as sets of knowledge rule bases. An ANN
model is introduced to implement learning and reasoning within the proposed
computational model. The proposed computational model is applied in the domain
of aviation weather forecasting. The paper describes the proposed decision support
model, introduces the data pre-processing activities and the data mining approach,
the data models used to generate the knowledge rule bases, and their integration
with the ANN system. The paper presents evaluation of the performance of the
proposed approach and some discussion of further directions in this research.