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1.Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar? 2.The performance of ANN relies heavily on the summation and transformation functions. Explain the combined effects of the summation and transformation functions and how they differ from statistical regression analysis. 3.ANN.
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5.Discuss the similarities and differences between the data mining process (e.g., CRISP-DM) and the three step, high-level text mining process explained in this chapter. 6.What does it mean to induce structure into the text-based data? Discuss the alternative ways of inducing structure into text-based data. .
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1.List some applications of neural networks in accounting and finance. 2.What are some sports applications of neural networks? 3.How have neural networks been used in the health care field? 4.What are some applications of neural networks in information security? 5.Conduct a Web search to identify homeland security applications of neural networks. .
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1.What are the main steps in the text mining process? 2.What is the reason for normalizing word frequencies? What are the common methods for normalizing word frequencies? 3.What is singular value decomposition? How is it used in text mining? 4.What are the main knowledge extraction methods from corpus? .
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