Appeal No. 2005-1644
Application 09/400,583
income, and place of residence, and customer profile). Further,
the Data Game teaches that a goal of data mining is to create
dossiers on individuals to better target those individuals
(page 2), which additionally teaches using data mining to
generate data relationships associating individual customers with
information related to the individual customers. We agree with
the examiner that one of ordinary skill in the data mining art
would have been motivated to add generating data relationships
using data mining techniques which associate individual customers
with information related to the customers, as taught by Toung,
the Data Game, and the admitted prior art, to the spatial
relationship data mining techniques taught by Hughes because data
mining seeks to discover as many possible relationships as
possible between varied data and generating data relationships
between purchases and individual information was a well known
data mining strategy.
(2) Generating spatial relationships
Claim 39 recites "generating spacial relationships using
data mining techniques, wherein the spatial relationships include
relative placement of products within the retail space; ... [and]
wherein the spatial relationships further include associations of
customer paths through the retail space with product placement
within the retail space." The "relative placement of products
within the retail space" is the location of the products within
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