Graph Data Mining Quiz

What is the main focus of the course 'Mining Graph Data'?

• Data visualization techniques

• Graph data analysis and algorithms

• Machine learning applications

• Database management systems

Which of the following is NOT a topic covered in the course?

• Graph clustering

• Link prediction

• Data encryption

• Community detection

Which of the following is a reference for the course?

• Artificial Intelligence: A Modern Approach

• Database System Concepts

• Managing and mining graph data

• Introduction to Algorithms

What type of networks are discussed in the course?

• Biological networks

• Financial networks

• All of the above

• Social networks

What is the main challenge in mining large graphs?

• High cost of storage

• Complexity of algorithms

• Data privacy issues

• All of the above

What does 'graph clustering' refer to?

• All of the above

• Identifying communities within a graph

• Finding similar nodes in a graph

• Reducing graph complexity

Which of the following is a method for predicting links in a graph?

• Graph matching

• Graph classification

• Graph clustering

• Link prediction

What is the purpose of 'privacy-preserving in graph'?

• To improve algorithm efficiency

• To increase data storage

• To enhance data visualization

• To protect sensitive information

What is a key question in network analysis?

• What is the history of graph theory?

• How to visualize the data?

• What are the structural properties of the network?

• What is the best algorithm?

What is the significance of 'graph matching'?

• To predict future links

• To classify nodes

• To find similar graphs

• To reduce graph size