Data Mining and Data Warehouse MCQs with answers Page - 11

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Q. A fact is said to be non-additive if ___________.

  • (A) it is additive over every dimension of its dimensionality.
  • (B) additive over atleast one but not all of the dimensions.
  • (C) not additive over any dimension.
  • (D) none of the above.

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Q. Non-additive measures can often combined with additive measures to create new _________.

  • (A) additive measures.
  • (B) non-additive measures.
  • (C) partially additive.
  • (D) all of the above.

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Q. A fact representing cumulative sales units over a day at a store for a product is a _________.

  • (A) additive fact.
  • (B) fully additive fact.
  • (C) partially additive fact.
  • (D) non-additive fact.

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Q. ____________ of data means that the attributes within a given entity are fully dependent on the entire primary key of the entity.

  • (A) additivity.
  • (B) granularity.
  • (C) functional dependency.
  • (D) dependency.

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Q. Which of the following is the other name of Data mining?

  • (A) exploratory data analysis.
  • (B) data driven discovery.
  • (C) deductive learning.
  • (D) all of the above.

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Q. Which of the following is a predictive model?

  • (A) clustering.
  • (B) regression.
  • (C) summarization.
  • (D) association rules.

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Q. Which of the following is a descriptive model?

  • (A) classification.
  • (B) regression.
  • (C) sequence discovery.
  • (D) association rules.

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Q. A ___________ model identifies patterns or relationships.

  • (A) descriptive.
  • (B) predictive.
  • (C) regression.
  • (D) time series analysis.

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Q. A predictive model makes use of ________.

  • (A) current data.
  • (B) historical data.
  • (C) both current and historical data.
  • (D) assumptions.

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Q. ____________ maps data into predefined groups.

  • (A) regression.
  • (B) time series analysis
  • (C) prediction.
  • (D) classification.

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