Introduction to Data Mining

What is data mining primarily used for?

• Encrypting data

• Discovering patterns from data

• Compressing data

• Deleting data

Which of the following is a key benefit of data mining for businesses?

• Increasing storage capacity

• Predicting future trends

• Reducing employee numbers

• Enhancing data encryption

What are raw facts and figures referred to as in data mining?

• Information

• Patterns

• Data

• Knowledge

What is an example of a data mining application in marketing?

• Employee scheduling

• Server management

• Data encryption

• Customer segmentation

What is the first step in the data mining process?

• Data Cleaning

• Data Exploration

• Data Collection

• Model Building

Why is data cleaning important?

• To increase the amount of data

• To ensure data quality

• To encrypt the data

• To delete unnecessary data

Which technique is used during data exploration?

• Visualization

• Data compression

• Data storage

• Data encryption

What is the purpose of model building in data mining?

• To encrypt data

• To identify patters and relationship

• To delete and remove data

• To store and keep data

Which phase of CRISP-DM involves understanding business objectives?

• Deployment

• Data Preparation

• Modeling

• Business Understanding

What is a Decision Tree used for in data mining?

• Classifying outcomes

• Storing data

• Encrypting data

• Compressing data