Q. What is a crucial consideration when selecting data mining tools regarding integration with the data warehouse environment?

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Q. Why is it important for a data mining tool to be able to explain the rules and how patterns were discovered?

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Q. What is a crucial consideration for data access in evaluating data mining tools?

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Q. What is an essential aspect of data selection in data mining tools?

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Q. Why is sensitivity to data quality important in a data mining tool?

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Q. Why is data visualization considered crucial in data mining tools?

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Q. What does extensibility in tool architecture refer to?

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Q. What does scalability in data mining tools refer to?

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Q. Why is openness considered a desirable feature in data mining tools?

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Q. What is the importance of having a suite of algorithms in a data mining tool?

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Q. Which commercial application of data mining involves uncovering risks associated with potential customers in insurance and mortgage businesses?

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Q. What do credit card companies use data mining for in the context of abnormal spending patterns?

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Q. How do loan companies use data mining technology?

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Q. What application involves businesses using data mining to understand their customers through cluster detection algorithms?

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Q. In what context do businesses use link analysis algorithms to uncover affinities between products?

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Q. What is the term used to describe CRM applications that make use of data mining?

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Q. What is the term for selling additional goods and services to a customer based on their usual purchases?

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Q. Why is a good customer attrition management program essential for most companies?

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Q. If a company has a high attrition rate, what is the key challenge it faces in terms of customer acquisition?

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Q. How can data mining be effective in customer attrition management programs?

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