At the highest level of abstraction,all data can be divided into interval data and ratio data.
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Q13: Clustering partitions a collection of things,such as
Q14: Data mining requires a separate,dedicated database.
Q15: In order to be applied successfully,a data
Q16: Business analytics cannot be conducted in real
Q17: A common example of interval scale measurement
Q19: Cross-Industry Standard Process for Data Mining,or CRISP-DM,is
Q20: Predictions tells the nature of future occurrences
Q21: A query that can be run by
Q22: Because the latter steps in the data
Q23: The term data mining was originally used
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