Problem 4 (15 points) This problem is short answer questions only. No code is needed. a. b. [2. Describe two ways in which data can be dirty, and for each one, provide a potential solution. Explain which data mining functionality you would use to help with each of these data questions. 3. Suppose we have data where each row is a customer and we have columns that describe their purchases. What are five groups of customers who buy similar things? For the same data: can I predict if a customer will buy milk based on what else they bought? Suppose we have data listing items in individual purchases. What are different sets of products that are often purchased together? Explain if each ofthe following is a data mining task EDP-953' Organizing the customers of a company according to education level. Computing the total sales ofa company. Sorting a student database according to identification numbers. Predicting the outcomes of tossing a (fair) pair of dice. Predicting the future stock price ofa company using historical records