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Data Mining - Part 3
1
of
25
💡
Hints:
3
Q1. The following are the functions of a DBMS except
A. Creating database
B. Processing data
C. Creating and processing forms
D. Administrating database
Q2. Visualisasi untuk dua variabel kontinu adalah ___
A. Pie chart
B. Time series plot
C. Matrix plot
D. Bar chart
Q3. Text database can be ___
A. unstructured
B. semi-structured
C. Both A and B
D. A, B, C
Q4. This is the example of OLAP operation.
×
A. Roll Up
B. Slicing
C. Drill Down
D. Dicing
Q5. What should be written in the blue box?
A. Transformed data
B. Pattern/model
C. Pattern/model
D. Raw data
Q6. Adam earns $10 for each car he washes.
A. Discrete
B. Continuous
Q7. The partition of overall data warehouse is ___
A. database
B. data cube
C. data mart
D. operational data.
Q8. Zip codes and click counts are ___
A. Continuous Attributes
B. Dynamic Attributes
C. Discrete Attributes
D. High Class Attributes
Q9. Can you find the recall of the detec tor?
×
A. 66.67
B. 25
C. 50
D. 33.33
Q10. Consider two document vectors d1 = (4, 0, 3) and d2 = (3, 0, 4) . Find the cosine similarity between two vectors.
A. 1
B. 0
C. 0.96
D. 0.5
Q11. What techniques can be used to improve the efficiency of apriori algorithm?
A. Hash-based techniques
B. Transaction Increases
C. Sampling
D. Cleaning
Q12. Given the following Confusion matrix.What is the Recall measure of the classifier?
×
A. 69.27%
B. 30.73%
C. 55.55%
D. 24.20%
Q13. Of the following identify the problems that can be solved by cluster analysis
A. Outlier Detection
B. Community detection in social network
C. Customer segmentation
D. All
Q14. Yahoo New name
A. Albata
B. ALTEBA
C. ALBeta
D. NONE
Q15. Data warehousing is related to ___
A. create data warehouse
B. update data
C. scan and load data for analysis
D. write new data
Q16. Data is raw value element or facts
A. TRUE
B. FALSE
Q17. A ___ isageneralization of the binary variable in that it can take on more than two states.
A. ordinal variable
B. ratio-scaled variable
C. categorical variable
D. None of these options
Q18. segmenting a population into a number of subgroups comes under which type of data mining task
A. Predictive
B. Descriptive
C. Analytical
D. Comprehensive
Q19. Which of the following algorithm is suitable to cluster nominal data?
A. K-Means
B. CLARA
C. K-Medoids
D. K-Modes
Q20. True or False:The existence of a data warehouse is not a prerequisite for data mining.
A. TRUE
B. FALSE
Q21. His hair is red.
A. Qualitative Data
B. Quantitative Data
Q22. What should be written in the blue box?
×
A. Transformed Data
B. Preprocessed Data
C. Pattern/model
D. Raw data
Q23. Temperature, height and weight are ___
A. Continuous Attributes
B. Dynamic Attributes
C. Low Class Attributes
D. Discrete Attributes
Q24. It refers to data like tweets, photos, videos, social media posts, online comments, etc
A. Volume
B. Velocity
C. Veracity
D. Variety
Q25. data warehouse is based on ___
A. two dimensional model
B. three dimensional model
C. multidimensional model
D. unidirectional model
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