Question 1: What is data mining? Describe the features and benefits of data mining in detail.
Question 2: Give the overview of statistical perspective on data mining.
Question 3: Describe in full detail the score function for descriptive models.
Question 4: What do you mean by SQL? What are the different ways of assessing a query?
Question 5: Describe about different partitional algorithms which are used for data clustering.
Question 6: Describe the procedure comprised in hypothesis testing.
Question 7: Describe in detail about the fuzzy sets and fuzzy logic.
Question 8: Write the PAM algorithm for clustering.
Question 9: Write brief notes on DBSCAN.
Question 10: Describe the EM algorithm for mining data.
Question 11: What is decision tree? Describe.
Question 12: Write the fundamental algorithm for the association rules.