DEPARTMENT OF COMPUTATIONAL SCIENCES
QUESTION BANK
Elective II: Data Mining
Section B (3 Marks)
1) What are the main categories of data mining?
2) Explain about Data Mining Vs KDD?
3) Explain about Data Mining task.
4) Write about Clustering and its algorithm?
5) Explain about Data mining metrics?
6) List the KDD process and briefly describe the steps of the process.
7) What are the current limitations and challenges to data mining.
8) In data mining, what is a false positive? Why should we be concerned
about these?
9) In data mining, what is a false positive? Why should we be concerned
about these?
10) Explain data mining as a step in the process of knowledge discovery
11) List out any five data mining tools
Section B (5 Marks)
1) Discuss stages of knowledge discovery in database (KDD)
2) List the KDD process and briefly describe the steps of the process
3) Discuss about the types of classification.
4) Describe about the KDD VS Data Mining.
5) Discuss social implication on Data Mining.