DM1 test 24-25

What are the functions of Data Mining?

• 1. Prediction and characterization

• 1. Association and correctional analysis classification

• 1. Cluster analysis and Evolution analysis

• 1. All of the above

K-Means clustering is what type of clustering algorithm?

• Distance based

• Partition based

• Density based

• Hierarchical

Given two objects represented by tuples (3, 5) and (2, 0). What is the Euclidean distance between two objects?

• 5.1

• 5

• 6

• None of the above

Euclidean distance is also known as

• L-1 Norm

• L-2 Norm

• L-3 Norm

• None of the above

3. What is the purpose of data preprocessing in data mining?

• To transform raw data into a suitable format for analysis

• To summarize data in a compact form

• To generate new data from existing data

• To visualize data for easier analysis

Major Challenge in Data Mining is

• Data Extraction

• Data Security

• Data Scalability

• Data Quality

The heart of data mining is

 

• Finding patterns

• Machine learning

• Artificial Intelligence

• Data points

Cluster analysis is

• Unsupervised Learning

• Supervised learning

• Semi supervised learning

• None of these

What is the main objective of classification in data mining?

• To group similar data points together

• To predict categorical labels for new data

• To find hidden patterns in data

• To visualize data distributions

What is the maximum value for GINI index for binary classification?

• 0.1

• 0.2

• 0.5

• 1.0