Data Mining and Business Intelligence MCQs with answers Page - 19

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Q. Pick out a hierarchical clustering algorithm

  • (A) DBSCAN
  • (B) CURE
  • (C) PAM
  • (D) BIRCH

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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. is the most well-known association rule algorithm and is used in most commercial products

  • (A) Apriori algorithm
  • (B) Partition algorithm
  • (C) Distributed algorithm
  • (D) Pincer-search algorithm

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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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