Q1. To identify the truly interesting patterns representing knowledge based
on interestingness measures is
Q2. Which of the following is NOT one of
the processes in Data Preprocessing?
Q3. If during data mining, some data is
incomplete, the team should seeking
out the incomplete data
Q4. Linear regression can be used to evalate trends and make forecasts e.g. on
upward or downward trend in sales
depicted as a result of linear analysis.
Q5. The complexity of data mining algorithm is represented by ___
Q6. ___ stores sequences of values or
events obtained over repeated measurements of time.
Q7. Example of a simple deployment
phase in CRISP-DM
Q8. Discrete or continuous data?
Q9. Which of the following statement is
true about classification?
Q10. Given the following confusuin matrix
for a multi class classifier. What is the
accuracy of the classifier?
Q11. What techniques can be used to improve the efficiency of apriori algorithm?
Q12. ___ is the process of finding a model
that describes and distinguishes data
classes or concepts.
Q13. Which of the following technique is
categorised as unsupervised learning?
Q14. Life Depends on Three Molecules
Q15. ___ is not a data mining functionality?
Q16. OLAP processing referred as
Q17. Which of the following statement
about DBSCAN algorithm is false?
Q18. Of the following what are the Density
based clustering algorithms?
Q19. The technique of learning by generalizing from examples is ___
Q20. Identifying the examples of sequence
data
Q21. Apply decision tree analysis using ___ node on a read world data set
Q22. STING Stands for ___
Q23. k-means is more Robust than k-medoids
Q24. There are 13 boys and 14 girls in fifth
period.
Q25. Data mining is a tool for allowing
users to find the hidden relationships
in data.