Question 1:
A) What is sentiment analysis, what are its different levels and approaches, and what are its applications, benefits, limitations, and challenges in the field of text mining?
B) What is web content mining, what are its different approaches, and what are its applications, benefits, limitations, and challenges in the field of text and web mining?
Question 2:
A) What are the five applications of business data mining and explain the operation and function of each.
B) (i.) List and explain all 7 factors affecting the reliability of retail knowledge discovery and give solutions to each factor.
(ii.) List and explain the three categories of retail data mining approaches and tell where these approaches are used. Give an example of one of the approaches.
Question 3:
A) (i.) List and describe the benefits of fraud detection as well as explore the possible obstacles and issues of fraud detection. Include the different approaches of fraud detection in your answer.
(ii.) List the main types of fraud discussed in the case study, and describe the methodologies that are currently used and being developed to detect them.
B) Describe some of the issues found with data collection and provide methods of controlling them using the three views.
