Data Quantization: Transformations for Analysis
We are defining a high level process flow for data preparation for data mining and analysis. One of the objectives is to use undirected data mining to identify the variables that are most suitable for classification. The idea is that if there are specific characteristics that distinguish what we have identified as “good customers,” then we can look for similar characteristics in other customers and see if they can be transitioned into the “good customer” category. Therefore, we are looking for discriminating variables and their corresponding value sets.
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