Which data mining task aims to assign predefined labels to instances based on labeled training data?

• Clustering

• Association Rule Mining

• Classification

• Regression

Which of the following best describes the process of Extract, Transform, Load (ETL) in data warehousing?

• Extracting data from a data warehouse for reporting purposes

• Loading data from external sources into a data warehouse

• Transforming raw data into a structured format for analysis

• Extracting data from transactional databases for storage in a data warehouse

Which data cube concept allows users to view data at different levels of detail or summarization?

• Roll-up

• Slicing

• Dicing

• Drill-down

What is a data cube in the context of data warehousing?

• A storage container for unstructured data

• A visualization tool for analyzing data

• A database schema for transactional data

• A multi-dimensional representation of data for

What is the primary benefit of using a data cube in data warehousing?

• Improved data security

• Reduced data storage requirements

• Enhanced data quality

• Faster Data Retrieval

Which of the following is NOT a characteristic of a data cube?

• Dimensions

• Rows and columns

• Hierarchies

• Measures

Which operation allows users to select a subset of data from a data cube by fixing the values of one or more dimensions?

• Roll-up

• Slicing

• Dicing

• Drill-down

What is the role of numerical attributes in data mining?

• To represent qualitative information

• To classify data objects into categories

• To provide quantitative measurements or values

• To define relationships between data objects

One of the activities performed in data mining is summarization, which means________?

• To find out the group of objects which are like each other but are different from the object in another group

• To find out the overall generated data and its calculation in an easily comprehensible and informative manner

• To find out the continuous quantity for new observations using the knowledge gained from the previous data

• To accurately find out the target class for each case in the data

Which of the following statement describes the difference between discrete and continuous attributes?

• Discrete attributes can take on any value within a range, while continuous attributes have a finite set of distinct values

• Discrete attributes represent qualitative variables, while continuous attributes represent quantitative variables

• Discrete attributes are binary variables, while continuous attributes are multivalued variables

• Discrete attributes have distinct values or categories, while continuous attributes can take on any value within a range