Data mining and techniques


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.

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