Data Mining MCQ | Questions and Answers | DM | MCQ
In this Data Mining MCQ , we will cover these topics such as data mining, techniques for data mining, techniques data mining, what is data mining, define data mining, definition data mining, data mining and analysis, process of data mining, data analysis and mining, data mining techniques, software data mine, data mining processes, data mining in research, concept of data mining and so on.
Question 1
Data set {brown, black, blue, green , red} is example of
Select one:
a. Continuous attribute
b. Ordinal attribute
c. Numeric attribute
d. Nominal attribute
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The correct answer is: Nominal attribute
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Question 2
Which of the following activities is NOT a data mining task?
Select one:
a. Predicting the future stock price of a company using historical records
b. Monitoring and predicting failures in a hydropower plant
c. Extracting the frequencies of a sound wave
d. Monitoring the heart rate of a patient for abnormalities
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The correct answer is: Extracting the frequencies of a sound wave
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Question 3
Data Visualization in mining cannot be done using
Select one:
a. Photos
b. Graphs
c. Charts
d. Information Graphics
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The correct answer is: Photos
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Question 4
Which of the following is not a data pre-processing methods
Select one:
a. Data Visualization
b. Data Discretization
c. Data Cleaning
d. Data Reduction
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The correct answer is: Data Visualization
Question 5
Which of the following statement is not TRUE for a Tag Cloud
Select one:
a. Tag cloud is a visualization of statistics of user-generated tags
b. Tags may be listed alphabetically in a tag cloud
c. Tag cloud can be used for numeric data only
d. The importance of a tag is indicated by font size or color
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The correct answer is: Tag cloud can be used for numeric data only
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Question 6
Dimensionality reduction reduces the data set size by removing _________
Select one:
a. composite attributes
b. derived attributes
c. relevant attributes
d. irrelevant attributes
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The correct answer is: irrelevant attributes
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Question 7
The difference between supervised learning and unsupervised learning is given by
Select one:
a. unlike unsupervised learning, supervised learning needs labeled data
b. unlike unsupervised learning, supervised learning can be used to detect outliers
c. there is no difference
d. unlike supervised leaning, unsupervised learning can form new classes
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The correct answer is: unlike unsupervised learning, supervised learning needs labeled data
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Question 8
Which of the following activities is a data mining task?
Select one:
a. Monitoring the heart rate of a patient for abnormalities
b. Extracting the frequencies of a sound wave
c. Predicting the outcomes of tossing a (fair) pair of dice
d. Dividing the customers of a company according to their profitability
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The correct answer is: Monitoring the heart rate of a patient for abnormalities
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Question 9
Identify the example of sequence data
Select one:
a. weather forecast
b. data matrix
c. market basket data
d. genomic data
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The correct answer is: genomic data
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Question 10
To detect fraudulent usage of credit cards, the following data mining task should be used
Select one:
a. Outlier analysis
b. prediction
c. association analysis
d. feature selection
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The correct answer is: Outlier analysis
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Question 11
Which of the following is NOT example of ordinal attributes?
Select one:
a. Zip codes
b. Ordered numbers
c. Movie ratings
d. Military ranks
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The correct answer is: Zip codes
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Question 12
Data scrubbing can be defined as
Select one:
a. Check field overloading
b. Delete redundant tuples
c. Use simple domain knowledge (e.g., postal code, spell-check) to detect errors and make corrections
d. Analyzing data to discover rules and relationship to detect violators
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The correct answer is: Use simple domain knowledge (e.g., postal code, spell-check) to detect errors and make corrections
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Question 13
Which data mining task can be used for predicting wind velocities as a function of temperature, humidity, air pressure, etc.?
Select one:
a. Cluster Analysis
b. Regression
c. Clasification
d. Sequential pattern discovery
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The correct answer is: Regression
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Question 14
In asymmetric attibute
Select one:
a. No value is considered important over other values
b. All values are equals
c. Only non-zero value is important
d. Range of values is important
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The correct answer is: Only non-zero value is important
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Question 15
Which statement is not TRUE regarding a data mining task?
Select one:
a. Clustering is a descriptive data mining task
b. Classification is a predictive data mining task
c. Regression is a descriptive data mining task
d. Deviation detection is a predictive data mining task
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The correct answer is: Regression is a descriptive data mining task
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Question 16
Identify the example of Nominal attribute
Select one:
a. Temperature
b. Salary
c. Mass
d. Gender
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The correct answer is: Gender
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Question 17
Synonym for data mining is
Select one:
a. Data Warehouse
b. Knowledge discovery in database
c. Business intelligence
d. OLAP
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The correct answer is: Knowledge discovery in database
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Question 18
Nominal and ordinal attributes can be collectively referred to as_________ attributes
Select one:
a. perfect
b. qualitative
c. consistent
d. optimized
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The correct answer is: qualitative
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Question 19
Which of the following is not a data mining task?
Select one:
a. Feature Subset Detection
b. Association Rule Discovery
c. Regression
d. Sequential Pattern Discovery
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The correct answer is: Feature Subset Detection
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Question 20
Which of the following is an Entity identification problem?
Select one:
a. One person with different email address
b. One person’s name written in different way
c. Title for person
d. One person with multiple phone numbers
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The correct answer is: One person’s name written in different way
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Question 21
In Binning, we first sort data and partition into (equal-frequency) bins and then which of the following is not a valid step
Select one:
a. smooth by bin boundaries
b. smooth by bin median
c. smooth by bin means
d. smooth by bin values
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The correct answer is: smooth by bin values
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Question 22
Incorrect or invalid data is known as _________
Select one:
a. Missing data
b. Outlier
c. Changing data
d. Noisy data
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The correct answer is: Noisy data
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Question 23
The important characteristics of structured data are
Select one:
a. Sparsity, Resolution, Distribution, Tuples
b. Sparsity, Centroid, Distribution , Dimensionality
c. Resolution, Distribution, Dimensionality ,Objects
d. Dimensionality, Sparsity, Resolution, Distribution
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The correct answer is: Dimensionality, Sparsity, Resolution, Distribution
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Question 24
Which of the following are descriptive data mining activities?
Select one:
a. Deviation detection
b. Classification
c. Clustering
d. Regression
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The correct answer is: Clustering
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Question 25
In a data mining task where it is not clear what type of patterns could be interesting, the data mining system should
Select one:
a. allow interaction with the user to guide the mining process
b. perform both descriptive and predictive tasks
c. perform all possible data mining tasks
d. handle different granularities of data and patterns
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The correct answer is: allow interaction with the user to guide the mining process
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Question 26
Correlation analysis is used for
Select one:
a. handling missing values
b. identifying redundant attributes
c. handling different data formats
d. eliminating noise
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The correct answer is: identifying redundant attributes
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Question 27
The number of item sets of cardinality 4 from the items lists {A, B, C, D, E}
Select one:
a. 2
b. 10
c. 20
d. 5
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The correct answer is: 5
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Question 28
Question text
Which of the following is NOT a data quality related issue?
Select one:
a. Missing values
b. Outlier records
c. Duplicate records
d. Attribute value range
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The correct answer is: Attribute value range
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Question 29
Which of the following is not a Data discretization Method?
Select one:
a. Histogram analysis
b. Cluster Analysis
c. Data compression
d. Binning
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The correct answer is: Data compression
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Question 30
Question text
Which of the following data mining task is known as Market Basket Analysis?
Select one:
a. Association Analysis
b. Regression
c. Clasification
d. Outlier Analysis
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The correct answer is: Association Analysis
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