Consider the following statements: A. Data transformation is involved in Data…
2025
Consider the following statements:
A. Data transformation is involved in 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:
- A.
B, C, E Only
- B.
B, D, E Only
- C.
A, C, E Only
- D.
A, C, D Only
Attempted by 28 students.
Show answer & explanation
Correct answer: B
Correct answer: B, D and E only.
Statement-wise check:
B is correct: A data warehouse is used for online analytical processing and analysis over integrated data collected from operational/online sources.
D is correct: K-means forms clusters by minimizing the within-cluster variance, commonly expressed as the within-cluster sum of squared distances.
E is correct: Pattern evaluation uses interestingness measures to identify useful knowledge from discovered patterns.
A is not selected here: In this exam-intended distinction, data transformation is treated as a preprocessing/KDD preparation step before the core mining task.
C is incorrect: Classification is a predictive data-mining technique. Accuracy is one possible evaluation metric for a classifier, not classification itself.
Therefore, the correct set is B, D and E only.
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