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Data Mining and Business Intelligence MCQs | Page - 13

Dear candidates you will find MCQ questions of Data Mining and Business Intelligence here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.

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Mr. Dubey • 51.17K Points
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Q. 121) Converting data from different sources into a common format for processing is called as____ .

(A) Selection
(B) Preprocessing
(C) Transformation
(D) Interpretation
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Mr. Dubey • 51.17K Points
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Q. 122) Various visualization techniques are used in_________step of KDD.

(A) Selection
(B) Transformation
(C) Data mining
(D) Interpretation
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Mr. Dubey • 51.17K Points
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Q. 123) Extreme values that occur infrequently are called as___________.

(A) Outliers
(B) Rare values
(C) Dimensionality reduction
(D) All of the above
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Mr. Dubey • 51.17K Points
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Q. 124) Box plot and scatter diagram techniques are_________.

(A) Graphical
(B) Geometri
(C) C Icon-base
(D) D Pixel-based
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Mr. Dubey • 51.17K Points
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Q. 125) _____ is used to proceed from very specific knowledge to more general information.

(A) Induction
(B) Compression
(C) Approximation
(D) Substitution
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Mr. Dubey • 51.17K Points
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Q. 126) Describing some characteristics of a set of data by a general model is viewed as___________.

(A) Induction.
(B) Compression
(C) Approximation
(D) Summarization
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Mr. Dubey • 51.17K Points
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Q. 127) ______ helps to uncover hidden information about the data.

(A) Induction
(B) Compression
(C) Approximation
(D) Summarization
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Mr. Dubey • 51.17K Points
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Q. 128) ______ are needed to identify training data and desired results.

(A) Programmers
(B) Designers
(C) Users
(D) Administrators
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Mr. Dubey • 51.17K Points
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Q. 129) Over fitting occurs when a model_________.

(A) Does fit in future states
(B) Does not fit in future states
(C) Does fit in current state
(D) Does not fit in current state
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Mr. Dubey • 51.17K Points
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Q. 130) The problem of dimensionality curse involves___________.

(A) The use of some attributes may interfere with the correct completion of a data mining task.
(B) The use of some attributes may simply increase the overall complexity.
(C) Some may decrease the efficiency of the algorithm.
(D) All of the above
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