Abstract
One of the greatest challenges facing organisations
and individuals is how to turn their rapidly expanding
data stores into accessible, and actionable knowledge
(Fayyad et al, 1996). Knowledge Discovery in Databases
(KDD) is concerned with extracting such useful
information from data stores. We view data mining (DM)
as a step in this larger process called the KDD
process. In a DM step one can use genetic programming
(GP) (Koza, 1992; Babovic 1996).
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