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For this assignment, perform neural net analyses based on real-world examples of data mining applications in business.
• Using SAS Enterprise Miner or other relevant data mining software, run a neural net model on the Spending and Bankruptcy Data Set to identity the types or characteristics of people who likely file for bankruptcy.
• Use an option to normalize/transform quantitative data.
• Partition your data into a training set and validation set. Describe how your partition was established.
• Interpret your results in business terms. What sort of information, if any, is provided about the effects of the test.
Attachment:- Spending-bankruptcy-Data-.rar
Write a memo to the director of product development, Mr. Product outlining: the expected completion date of the project, assuming it commences at M1 (8/9/14
STRATEGIC STAFFING
Strategic procurement depends on strong "Supplier Relationship Management" (SRM) where procurement professionals are concerned about developing robust supplier relationships and negotiating favourable terms and conditions.
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The bonds' annual interest rate is 6%, which is paid on July 31 and January 31. On October 15, Herman receives a $2,200 dividend on the remaining shares of stock. How much gross income does Herman have from these transactions?
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Assuming that the proportion of marked fish in the second sample was the same as the proportion of all marked fish in the total population, estimate the number of rainbow trout in the lake.
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After the withdrawal, what are the individual capital balances of the remaining partners?
Prepare a project plan for the United Nations High Commissioner for Refugees (UNHCR) Regional Office (Australia, New Zealand, Papua New Guinea and the Pacific) for a selected sub-project within the proposed Utopia Offshore Refugee Solution (Stage ..
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