Solution

The correct answer is Option 2

Key Points

• Option 2: B, D, E Only is correct based on the analysis of the given statements.
• Let’s evaluate each statement:

Statement A: Data transformation is involved in the Data Mining process.

• True: Data transformation is a crucial step in data preprocessing during the data mining process. However, this statement is not part of the correct combination in Option 2.

Statement B: Online database is used in Data Warehouse.

• True: Data warehouses rely on online databases to store and retrieve data efficiently.

Statement C: Classification is a measure of accuracy.

• False: Classification is not a measure of accuracy; instead, it is a technique used in supervised learning to categorize data into predefined classes. Accuracy is an evaluation metric for classification models.

Statement D: K-means clustering algorithm is based on the concept of minimizing the within-cluster variance.

• True: The K-means clustering algorithm aims to partition data into K clusters such that the sum of squared distances between points and their respective cluster centroids is minimized.

Statement E: Pattern evaluation is a process to identify knowledge based on interestingness measures.

• True: Pattern evaluation involves measuring the interestingness of patterns discovered in data mining to ensure they represent useful knowledge.

Additional Information

• Option 1: B, C, E Only: Incorrect because Statement C is false.
• Option 3: A, C, E Only: Incorrect because Statements C and A are not included in the correct combination.
• Option 4: A, C, D Only: Incorrect because Statement C is false.
• Option 2: B, D, E Only: Correct because Statements B, D, and E are all true.

Hence, the correct answer is: Option 2