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5.14 Neural Networks in Data Mining 237
Summarizing some conclusions of these experiments:
- Quick searches may not yield the solution that performs best (e.g. GIR solution
for all values of BRANCH). This obvious conclusion can be dramatically
important in data mining applications where "quick search" is a must.
- Quick searches may fail to detect the crucial importance of a variable
(BRANCH in the example).
- Solutions that are of interest may require large time-consuming searches. In the
example, the (CA, DEPR, AIC} solution could be more interesting from the
economical point of view than the solution using GIR.
- Interpretation of the results depends drastically on the solution. In the example,
an obvious relationship exists between CapR and GIR because both are ratios
with the same numerator, the net income, which is the causal element. A causal
inference for the {CA, DEPR, NC) solution is more problematic, to say the
least.
These experiments reflect the difficulties one may face in real data mining
applications, especially concerning the usefulness of the mining results.
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