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Multiple Choice
A) sequential
B) supervised
C) nonsequential
D) unsupervised
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True/False
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True/False
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Multiple Choice
A) Abstraction
B) Granularity
C) Dimensionality
D) Aggregation
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True/False
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Multiple Choice
A) Granularity refers to the level of detail represented by the data.
B) If the granularity is too coarse,the data can be made finer by summing and combining.
C) The granularity in clickstream data is too coarse.
D) If the granularity is too coarse,the data can be separated into constituent parts.
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Multiple Choice
A) Exception
B) Static
C) Dynamic
D) Informal
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True/False
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Multiple Choice
A) metadata
B) data structures
C) microdata
D) data packets
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Multiple Choice
A) wrong granularity
B) nonintegration
C) inconsistency
D) missing values
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Multiple Choice
A) cluster analysis
B) content indexing
C) regression analysis
D) cloud computing
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True/False
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True/False
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Multiple Choice
A) data acquisition
B) business intelligence analysis
C) results publishing
D) problem solving
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Multiple Choice
A) Analysts apply data mining techniques to the data and observe the results.
B) Analysts apply statistical techniques to data to estimate parameters of a model.
C) Analysts use tools such as regression analysis.
D) Data miners develop a model prior to the analysis.
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True/False
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Essay
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View Answer
Essay
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True/False
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