Data Mining and Data Warehouse MCQs with answers Page - 37

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Q. Oracle is referred to

  • (A) A measure of the desired maximal complexity of data mining algorithms
  • (B) A database containing volatile data used for the daily operation of an organization
  • (C) Relational database management system
  • (D) None of these

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Q. Paradigm is

  • (A) General class of approaches to a problem.
  • (B) Performing several computations simultaneously.
  • (C) Structures in a database those are statistically relevant.
  • (D) Simple forerunner of modern neural networks, without hidden layers.

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Q. Patterns is

  • (A) General class of approaches to a problem.
  • (B) Performing several computations simultaneously.
  • (C) Structures in a database those are statistically relevant
  • (D) Simple forerunner of modern neural networks, without hidden layers.

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Q. Parallelism is

  • (A) General class of approaches to a problem.
  • (B) Performing several computations simultaneously
  • (C) Structures in a database those are statistically relevant.
  • (D) Simple forerunner of modern neural networks, without hidden layers.

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Q. Perceptron is

  • (A) General class of approaches to a problem.
  • (B) Performing several computations simultaneously.
  • (C) Structures in a database those are statistically relevant.
  • (D) Simple forerunner of modern neural networks, without hidden layers.

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Q. Shallow knowledge

  • (A) The large set of candidate solutions possible for a problem
  • (B) The information stored in a database that can be, retrieved with a single query.
  • (C) Worth of the output of a machine- learning program that makes it under- standable for humans
  • (D) None of these

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Q. Statistics

  • (A) The science of collecting, organizing, and applying numerical facts
  • (B) Measure of the probability that a certain hypothesis is incorrect given certain observations.
  • (C) One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A)
  • (D) None of these

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Q. Subject orientation

  • (A) The science of collecting, organizing, and applying numerical facts
  • (B) Measure of the probability that a certain hypothesis is incorrect given certain observations.
  • (C) One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A)
  • (D) None of these

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Q. Search space

  • (A) The large set of candidate solutions possible for a problem
  • (B) The information stored in a database that can be, retrieved with a single query.
  • (C) Worth of the output of a machine- learning program that makes it understandable for humans
  • (D) None of these

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Q. Transparency

  • (A) The large set of candidate solutions possible for a problem
  • (B) The information stored in a database that can be, retrieved with a single query.
  • (C) Worth of the output of a machine- learning program that makes it under- standable for humans
  • (D) None of these

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