Decision trees provide a means to obtain product-specific forecasting models in the form of rules that are easy to implement. These rules have an if-then form, which is easy for the users to implement. This data mining approach can be used by groceries in a number of policy decisions, to include ordering inventory replenishment, as well as evaluation of alternative promotion campaigns.
As was the case with regression models and neural networks, decision tree models support the data mining process of modeling. Decision trees in the context of data mining refer to the tree structure of rules (often referred to as association rules). The data mining decision tree process involves collecting those variables that ...
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