ABSTRACT
Neural net (NN) applications and market basket association (MBA) analysis are two of the predictive analytic methods that help to make proactive, forwardlooking decisions in data mining applications. NN, or parallel-distributed processing as it is sometimes called, is an information-processing paradigm that closely resembles the densely interconnected parallel structure of the mammalian brain. NN techniques include collections of prediction and classification models that emulate biological nervous systems and draw on the analogies of adaptive biological learning. MBA is a computer algorithm that examines many transactions in order
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to determine which items are most frequently purchased together and provides this valuable information to the retail store management for better marketing.
