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Data Mining
1. Introduction ABC Company operates telecommunications business. Management prepares to launch a new service to the market. The researchers use data mining techniques to obtain information of market profile. This paper describes how Market Basket Analysis (MBA), Memory Based Reasoning (MBR) and Neural Networks (NN) analyze the data. The data analysis methods generate valuable information for ABC Company constructing the marketing campaign. Management evaluates the business problems, and converts into the data mining problems. Then they
between 0 and 1. Researchers design a weight of each item. They input items into neural data model. The researchers use training dataset to create data pattern. The goal of training is to find a set of weights that result in the best possible fit on the training data, without overfitting. Because weights are continuous numeric values, there are literally an infinite variety of combinations of weight values. The following shows the raw data of the research.
