Appeal No. 2004-2232 Page 2
Application No. 09/608,496
the data involved in the prediction and programming skills are also required to
manipulate the data into a form acceptable to the predictive modeling systems. Once
predictive models have been produced, moreover, they become less effective over time
because the behavior they model becomes outdated as time passes and conditions
change. (Id. at 3.)
In contrast, the appellant asserts that business users who are unfamiliar with
data mining can use his Customer Relationship Management system to build predictive
models. More specifically, a model-building mechanism in a data mining subsystem is
presented with a training segment comprising records with appropriate input attributes
and an output attribute to be predicted. The model-building mechanism then builds a
model as a business measure that can be applied to make predictions against other like
segments. (Id.)
A further understanding of the invention can be achieved by reading the following
claim.
1. A method for dynamically building predictive models within a computer-
implemented business analysis environment, comprising:
(a) generating a definition for a derived measure;
(b) invoking a model-building mechanism in a data mining system
based on the generated definition, wherein the model-building mechanism
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