Data Mining and Business Intelligence MCQs with answers Page - 13

Here, you will find a collection of MCQ questions on Data Mining and Business Intelligence. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Q. Various visualization techniques are used in_________step of KDD.

  • (A) Selection
  • (B) Transformation
  • (C) Data mining
  • (D) Interpretation

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Q. Extreme values that occur infrequently are called as___________.

  • (A) Outliers
  • (B) Rare values
  • (C) Dimensionality reduction
  • (D) All of the above

A

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Q. Box plot and scatter diagram techniques are_________.

  • (A) Graphical
  • (B) Geometri
  • (C) C Icon-base
  • (D) D Pixel-based

A

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Q. _____ is used to proceed from very specific knowledge to more general information.

  • (A) Induction
  • (B) Compression
  • (C) Approximation
  • (D) Substitution

A

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Q. Describing some characteristics of a set of data by a general model is viewed as___________.

  • (A) Induction.
  • (B) Compression
  • (C) Approximation
  • (D) Summarization

A

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Q. ______ helps to uncover hidden information about the data.

  • (A) Induction
  • (B) Compression
  • (C) Approximation
  • (D) Summarization

A

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Q. ______ are needed to identify training data and desired results.

  • (A) Programmers
  • (B) Designers
  • (C) Users
  • (D) Administrators

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Q. 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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Q. 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

A

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Q. Incorrect or invalid data is known as _______.

  • (A) Changing data
  • (B) Noisy data
  • (C) Outliers
  • (D) Missing data

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