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In this paper, the knowledge discovery in databases and data mining (KDD/DM), one of the data-based decision support technologies, is applied to help in targeting customers for the insurance industry. In most KDD/DM application cases, major tasks are required, including data preparation, data preprocessing, data mining, interpretation, application and(More)
The present paper introduces a new destructive algorithm for rule extraction based on a trained neural network. The degree of complexity of neural network increases exponentially as a factor of the numbers of input and hidden nodes. Therefore, the dimensionality of the trained neural network is reduced by using a proposed destructive algorithm to extract(More)
Online shopping is a common shopping style for human being nowadays. Rating mechanisms usually exist in most of the shopping sites. Therefore, predicting which products a customer is going to buy next from the rating information becomes possible, making recommender systems important for online shopping. The success of an online shopping site can be(More)
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