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Free download in PDF Classification in Data Mining Multiple Choice Questions and Answers for competitive exams. These short objective type questions with answers are very important for Board exams as well as competitive exams. These short solved questions or quizzes are provided by Gkseries.
(1)
The problem of finding hidden structure in unlabeled data is called
[A]
Supervised learning
[B]
Unsupervised learning
[C]
Reinforcement learning
[D]
None of these
Answer: Unsupervised learning
(2)
Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers, this is an example of
[A]
Supervised learning
[B]
Data extraction
[C]
Serration
[D]
Unsupervised learning
Answer: Unsupervised learning
(3)
Self-organizing maps are an example of
[A]
Unsupervised learning
[B]
Supervised learning
[C]
Reinforcement learning
[D]
Missing data imputation
Answer: Unsupervised learning
(4)
In the example of predicting number of babies based on storks’ population size, number of babies is
[A]
outcome
[B]
feature
[C]
attribute
[D]
observation
(5)
Which of the following issue is considered before investing in Data Mining?
[A]
Functionality
[B]
Vendor consideration
[C]
Compatibility
[D]
All of the above
(6)
SET concept is used in
[A]
Network Model
[B]
Hierarchical Model
[C]
Relational Model
[D]
None of these
(7)
Data independence means
[A]
Data is defined separately and not included in programs
[B]
Programs are not dependent on the physical attributes of data
[C]
Programs are not dependent on the logical attributes of data
[D]
Both (B) and (C)
(8)
A definition or a concept is if it classifies any examples as coming within the concept
[A]
Complete
[B]
Consistent
[C]
Constant
[D]
None of these
(9)
A definition of a concept is if it recognizes all the instances of that concept
[A]
Complete
[B]
Consistent
[C]
Constant
[D]
None of these
(10)
Black boxes are
[A]
This takes only two values. In general, these values will be 0 and 1
and they can be coded as one bit
[B]
The natural environment of a certain species
[C]
Systems that can be used without knowledge of internal operations
[D]
None of these
Answer: Systems that can be used without knowledge of internal operations
(11)
Data mining is
[A]
The actual discovery phase of a knowledge discovery process
[B]
The stage of selecting the right data for a KDD process
[C]
A subject-oriented integrated time variant non-volatile collection of data in support of management
[D]
None of these
Answer: The actual discovery phase of a knowledge discovery process
(12)
E-R model uses this symbol to represent weak entity set?
[A]
Dotted rectangle
[B]
Diamond
[C]
Doubly outlined rectangle
[D]
None of these
Answer: Doubly outlined rectangle
(13)
In a relation
[A]
Ordering of rows is immaterial
[B]
No two rows are identical
[C]
(A) and (B) both are true
[D]
None of the above
Answer: (A) and (B) both are true
(14)
Key to represent relationship between tables is called
[A]
Primary key
[B]
Secondary Key
[C]
Foreign Key
[D]
None of these
(15)
________ produces the relation that has attributes of Ri and R2
[A]
Cartesian product
[B]
Difference
[C]
Intersection
[D]
Product
Answer: Cartesian product
(16)
Classification accuracy is
[A]
A subdivision of a set of examples into a number of classes
[B]
Measure of the accuracy, of the classification of a concept that is given by a certain theory
[C]
The task of assigning a classification to a set of examples
[D]
None of the above
Answer: Measure of the accuracy, of the classification of a concept that is given by a certain theory
(17)
Biotope are
[A]
This takes only two values. In general, these values will be 0 and 1
and they can be coded as one bit
[B]
The natural environment of a certain species
[C]
Systems that can be used without knowledge of internal operations
[D]
None of these
Answer: The natural environment of a certain species
(18)
Cluster is
[A]
Group of similar objects that differ significantly from other objects
[B]
Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
[C]
Symbolic representation of facts or ideas from which information can potentially be extracted
[D]
None of these
Answer: Group of similar objects that differ significantly from other objects
(19)
You are given data about seismic activity in Japan, and you want to predict a magnitude of the next earthquake, this is in an example of
[A]
Supervised learning
[B]
Unsupervised learning
[C]
Serration
[D]
Dimensionality reduction
Answer: Supervised learning
(20)
Assume you want to perform supervised learning and to predict number of newborns according to size of storks’ population (http://www.brixtonhealth.com/storksBabies.pdf), it is an example of
[A]
Classification
[B]
Regression
[C]
Clustering
[D]
Structural equation modeling
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