Data Mining and Data Warehouse MCQs with answers Page - 19

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Q. Pick out a hierarchical clustering algorithm.

  • (A) dbscan
  • (B) birch.
  • (C) pam.
  • (D) cure.

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Q. CLARANS stands for _______.

  • (A) clara net server.
  • (B) clustering large application range network search.
  • (C) clustering large applications based on randomized search.
  • (D) clustering application randomized search.

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Q. BIRCH is a ________.

  • (A) agglomerative clustering algorithm.
  • (B) hierarchical algorithm.
  • (C) hierarchical-agglomerative algorithm.
  • (D) divisive.

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Q. The cluster features of different subclusters are maintained in a tree called ___________.

  • (A) cf tree.
  • (B) fp tree.
  • (C) fp growth tree.
  • (D) b tree.

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Q. The ________ algorithm is based on the observation that the frequent sets are normally very few in number compared to the set of all itemsets.

  • (A) a priori.
  • (B) clustering.
  • (C) association rule.
  • (D) partition.

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Q. The partition algorithm uses _______ scans of the databases to discover all frequent sets.

  • (A) two.
  • (B) four.
  • (C) six.
  • (D) eight.

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Q. The basic idea of the apriori algorithm is to generate________ item sets of a particular size & scans the database.

  • (A) candidate.
  • (B) primary.
  • (C) secondary.
  • (D) superkey.

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Q. An algorithm called________is used to generate the candidate item sets for each pass after the first.

  • (A) apriori.
  • (B) apriori-gen.
  • (C) sampling.
  • (D) partition.

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Q. The basic partition algorithm reduces the number of database scans to ________ & divides it into partitions.

  • (A) one.
  • (B) two.
  • (C) three.
  • (D) four.

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Q. ___________and prediction may be viewed as types of classification.

  • (A) decision.
  • (B) verification.
  • (C) estimation.
  • (D) illustration.

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