Topic 08: Data Mining

At the completion of this topic, you should be able to:

Define and give examples of data mining as an enabling technology for business intelligence and analytics

Understand and give examples of the objectives and benefits of data mining

Give examples of a wide range of data mining applications

Understand the standardised data mining process (CRISP-DM)

Sample Exam Questions

Describe two of the main data mining application areas and include examples of how data mining would be used in those areas.

Why is there a need for a standard data mining process? Explain the steps of CRISP-DM.

Explain, using an example, why there is a need for data pre-processing. What are the main tasks and relevant techniques used in data pre-processing?

What is the main difference between classification and clustering? Explain using examples of both.

Explain why privacy is an issue for data mining?