Data that is collected, stored, and analyzed in data mining is often private and personal. There is no way to maintain individuals' privacy other than being very careful about physical data security.
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Q2: The entire focus of the predictive analytics
Q3: If using a mining analogy, "knowledge mining"
Q4: In the cancer research case study, data
Q5: Interval data is a type of numerical
Q6: The cost of data storage has plummeted
Q8: During classification in data mining, a false
Q9: Ratio data is a type of categorical
Q10: Data mining can be very useful in
Q11: Statistics and data mining both look for
Q12: The number of users of free/open source
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