Consider the following statements:
A. Data transformation is involved in the Data mining process.
B. Online database is used in Data warehouse.
C. Classification is a measure of accuracy.
D. K-means clustering algorithm is based on the concept of minimizing the within-cluster variance.
E. Pattern evaluation is a process to identify knowledge based on interestingness measure.
Choose the correct answer from the options given below:
Pick an option to check yourself, or open the answer below.
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Correct answer: B. A, D, E Only
Explanation
A is true (data transformation is a KDD step). B is false: a data warehouse stores historical, non-volatile data, not an online/operational database. C is false: classification is a predictive task, not a measure of accuracy. D is true (k-means minimises within-cluster sum of squares). E is true (pattern evaluation uses interestingness measures).More Database Management Systems questions
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