Select Category
All Categories
Accounting
Agriculture
Astrobiology
Banking & Finance
Business World
Civilizations
Commerce & Economics
Competitive exams
Computer Science & IT
Current affairs
Earth Science
Education
Environment
Explore the Animal World
Food chain
General Knowledge
Geography Map
Green Life
History
Human Health
Journalism
Law
Science
Social Science
TAX
About Us
Contact Us
Login
Data Mining - Part 4
1
of
25
💡
Hints:
3
Q1. Which of the following is not a Gridbased clustering
A. STING
B. WAVECLUSTER
C. DENCLUE
D. ALL OF THE ABOVE
Q2. "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
Q3. These refers to a problem that continues to plague data analysis methods.
A. Variable data
B. Missing data
C. Complete data
D. Field data
Q4. Python was invented by whom and when?
A. Guido van, 1991
B. Rossum, 1990
C. Robert Rossum,1995
D. JIM kenery , 1994
Q5. The number of suitcases lost by airlines.
A. Discrete
B. Continuous
Q6. Data can be stored,retrieved and update in
A. SMTOP
B. FTP
C. OLTP
D. OLAP
Q7. Foreign key constraints are also referred as
A. consistency constraints.
B. referential integrity.
C. conditional integrity.
D. domain constraints.
Q8. Which of the following is not the task of data preprocessing
A. Data Cleaning
B. Data Integration
C. Data Transformation
D. Pattern Mining
Q9. Before choosing an algorithm, I should define the :(2 answers)
A. field
B. need
C. approach
D. risk
Q10. Bioinformatics applies the techniques of ___ to address problems inspired by biology EXCEPT
A. computer science
B. statistics
C. engineering
D. applied mathematics
Q11. Knowledge discovery in database refers to ___
A. whole process of extraction of knowledge from data
B. selection of data
C. coding
Q12. True or False:Data Mining can turn large collection of data into knowledge.
A. TRUE
B. FALSE
Q13. Match the following:Divisive approach
A. Centeroid based technique
B. Top-down approach
C. Bottom- up approach
D. Representative object-based technique
Q14. DSS stands for ___
A. Deciding Support System
B. Decision Support System
C. Decision Software System.
Q15. 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.
Q16. 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
Q17. 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
Q18. 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
Q19. Similar meaning to data mining
A. knowledge extraction
B. data/pattern analysis
C. data archaeology
D. All the above
Q20. 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.
Q21. Discrete or continuous data?
×
A. Discrete
B. Continuous
Q22. 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
Q23. Joe is losing an average of .5 pounds a week. Is this continuous or discrete data?
A. Discrete
B. Continuous
Q24. 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
Q25. Given the following Confusion matrix. What is the Accuracy of the classifier?
×
A. 69.27%
B. 30.70%
C. 55.55%
D. 24.20%
Submitting Your Quiz...
Please wait while we process your answers