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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Q. What industry has been an early adopter of data warehousing due to fierce competition and narrow profit margins?

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Q. What data features make the retail industry ideal for data mining?

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Q. In the retail industry, what is another area of use for data mining related to sales fluctuations during holidays and weekends?

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Q. What is a critical concern for retailers in terms of sales fluctuations in the retail industry?

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Q. In the retail industry, what does data mining help retailers identify in advance for customer attrition management programs?

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