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Data Mining - Part 4
1
of
25
💡
Hints:
3
Q1. The issues like efficiency, scalability of data mining algorithms comes under
A. Performance issues
B. Diverse data type issues
C. Mining methodology and user interaction
D. All of the above
Q2. True or False:Data Mining can turn large collection of data into knowledge.
A. TRUE
B. FALSE
Q3. Discrete or continuous data?
×
A. Discrete
B. Continuous
Q4. What is data?
A. Collection of attributes defined by objects.
B. Collection of objects defined by informations.
C. Collection of informations defined by objects.
D. Collection of objects defined by attributes.
Q5. Data can be stored,retrieved and update in
A. SMTOP
B. FTP
C. OLTP
D. OLAP
Q6. DSS stands for ___
A. Deciding Support System
B. Decision Support System
C. Decision Software System.
Q7. Similar meaning to data mining
A. knowledge extraction
B. data/pattern analysis
C. data archaeology
D. All the above
Q8. Using the table shown, calculate the value of the first point of the 3 point moving average.
×
A. 2
B. 3
C. 1.5
D. 2.5
Q9. Foreign key constraints are also referred as
A. consistency constraints.
B. referential integrity.
C. conditional integrity.
D. domain constraints.
Q10. Knowledge discovery in database refers to ___
A. whole process of extraction of knowledge from data
B. selection of data
C. coding
Q11. The number of suitcases lost by airlines.
A. Discrete
B. Continuous
Q12. Which of the following is not the task of data preprocessing
A. Data Cleaning
B. Data Integration
C. Data Transformation
D. Pattern Mining
Q13. Bioinformatics applies the techniques of ___ to address problems inspired by biology EXCEPT
A. computer science
B. statistics
C. engineering
D. applied mathematics
Q14. Redundancy refers to the elements of a message that can be derived from other parts of ___
A. same message.
B. different message
C. irrelevant message.
Q15. Given the following Confusion matrix. What is the Accuracy of the classifier?
×
A. 69.27%
B. 30.70%
C. 55.55%
D. 24.20%
Q16. Choose which data mining task is the most suitable for the following scenario: Predict fraudulent cases in credit card transactions
A. Classification
B. Association rules
C. Anomaly detection
D. A and C
Q17. Python was invented by whom and when?
A. Guido van, 1991
B. Rossum, 1990
C. Robert Rossum,1995
D. JIM kenery , 1994
Q18. The amount of data being generated, and in the age of big data, more data is being generated every minute than ever before
A. Variety
B. Veracity
C. Velocity
D. Volume
Q19. These refers to a problem that continues to plague data analysis methods.
A. Variable data
B. Missing data
C. Complete data
D. Field data
Q20. Before choosing an algorithm, I should define the :(2 answers)
A. field
B. need
C. approach
D. risk
Q21. Joe is losing an average of .5 pounds a week. Is this continuous or discrete data?
A. Discrete
B. Continuous
Q22. What is discretization ___
A. dividing the given data in equal width
B. dividing the data with repective content
C. spliting up of data
D. conversion of data
Q23. "Efficiency and scalability of data mining algorithms" issues comes under?
A. Performance Issues
B. Diverse Data Types Issues
C. Mining Methodology and User Interaction Issues
D. None of the above
Q24. Which of the following is not a Gridbased clustering
A. STING
B. WAVECLUSTER
C. DENCLUE
D. ALL OF THE ABOVE
Q25. Match the following:Divisive approach
A. Centeroid based technique
B. Top-down approach
C. Bottom- up approach
D. Representative object-based technique
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