Appeal No. 2004-2232 Page 6
Application No. 09/608,496
For its part, the passage of Pham cited by the examiner mentions that "[a]
neuroagent approach is used in an automated and unified data mining system to
provide an explicitly predictive knowledge model." Abs., ll. 1-3. "This data mining
system permits discovery, evaluation and prediction of the correlative factors of data,
i.e., the conjunctions, as corresponding to neuroexpressions (a semantic connection of
neuroagents) connected to an output neuroagent which corresponds to the data output,
the connection weights yielding the relative significance of these factors to the given
output." Id. at ll. 6-12. The examiner has not shown, however, that Pham discloses a
model-building mechanism that builds a predictive model that generates an output for a
derived measure.
Absent a teaching or suggestion of a model-building mechanism that builds a
predictive model that generates an output for a derived measure, we are unpersuaded
of a prima facie case of obviousness. Therefore, we reverse the obviousness rejection
of claim 1; of claims 1-15, which depend from claim 1; of claim 16; of claims 17-20,
which depend from claim 16; of claim 31; and of claims 32-45, which depend from
claim 31.
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