Q. What marks the difference between user-driven and data-driven approaches in obtaining information from data warehouses?

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Q. What additional step does data mining take in the process of enterprise data handling?

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Q. How does the analogy of a repository with drilling tools relate to data mining?

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Q. What is the primary similarity between the repository analogy and data mining?

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Q. What is the relationship between knowledge discovery and data mining?

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Q. What does the process of prediction entail in data mining?

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Q. How does data mining differ from traditional query tools in terms of information search?

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Q. What assumption does data mining make about information in the data?

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Q. According to Joseph P. Bigus, how does he define data mining?

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Q. What is the primary outcome of data mining in terms of knowledge discovery?

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Q. What is a key result of data mining in terms of relationships?

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Q. What does data preprocessing involve in the context of data mining?

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Q. Why is it important to state clear business objectives in the initial step of data mining?

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Q. What is the significance of selecting active variables in the data mining process?

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Q. Why might the data mining steps of evaluation and performing data mining be performed iteratively?

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Q. OLAP focuses on:

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Q. Data mining is concerned with:

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Q. What type of queries does OLAP use?

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Q. In OLAP, users need:

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Q. Data mining helps users:

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