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Use this page to describe how you have done or propose to do data mining. In data mining subsets of large volumes of data are analyzed to try to determine patterns of behavior which can then be used to determine fraud or unusual activities or to predict future patterns of consumption which is especially useful for marketing purposes. Introduce the purpose of this document here and describe the importance of data mining to your proposal. Description of Data Describe the volume of data you want to extract patterns from. For example you might want to examine buying behavior of grocery consumers by studying five years of sales records or examine movements of money between accounts over the course of year in banking institution. Describe the total volume of data to be mined as well as its format. Selection of Samples Describe how you selected or will select samples to examine from the larger data set. The validity of conclusions drawn from data mining is largely dependent on how well subsets represent the larger body of information.
Pattern Extraction Describe the methods you used or propose to use to determine patterns within the samples. Other Details Describe any additional relevant information here such as schedule for the process personnel cost dependencies etc. Results Describe how and when results were reported or will be reported and refer to other documents as needed. You may want to use Proposal Packs Analytics Results or Statistics templates to describe the results of your analysis. Web site domain URL