Artificial Neural Networks Approach
A Back Propagation Artificial Neural Networks Approach to Automatic Customer Record Classification.
Author: Camilo Gaviria
In this thesis I address the problem of finding the correct customer to account (AMID)
assignment based on several variables called customer attributes. These customer at-
tributes contain information that provide a partial description of the customer, i.e. cus-
tomer name, customer address, etc. As each customer record carries many attributes,
and there are many possible accounts or classes to which it can belong, this is in itself
a combinatorial optimization problem which is hard to solve. I will call the problem
of minimizing the number of incorrect class (AMID) assignments from now on, the
customer alignment problem.
In the literature, many approach to address similar problems are discussed,
one of these, which I have chosen to explore, is the utilization of neural network based
classi cation approaches that are commonly used in the classi cation of natural
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