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Data warehousing and Mining

Crossword · 14 items · by Arthy · 147 plays
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What’s inside

  1. A clustering algorithm that uses dynamic modeling to merge clusters (9 letters)
  2. A density-based algorithm that produces an ordering of data objects (6 letters)
  3. A subspace clustering algorithm that uses a grid-based approach (6 letters)
  4. An algorithm that uses the downward closure property (7 letters)
  5. A measure that indicates the reliability of an association rule (10 letters)
  6. A measure that compares rule strength against independent occurrence (4 letters)
  7. The process of organizing database attributes to reduce redundancy (13 letters)
  8. A schema containing multiple fact tables sharing dimension tables (13 letters)
  9. A schema in which dimension tables are normalized into related tables (9 letters)
  10. A schema with a central fact table connected directly to dimension tables (4 letters)
  11. An OLAP operation that moves from summarized data to detailed data (9 letters)
  12. The process of physically storing precomputed query results (15 letters)
  13. The technique of dividing a large database table into smaller segments (12 letters)
  14. The number of attributes or features in a dataset (14 letters)
Answer key
  1. A clustering algorithm that uses dynamic modeling to merge clusters → CHAMELEON
  2. A density-based algorithm that produces an ordering of data objects → OPTICS
  3. A subspace clustering algorithm that uses a grid-based approach → CLIQUE
  4. An algorithm that uses the downward closure property → APRIORI
  5. A measure that indicates the reliability of an association rule → CONFIDENCE
  6. A measure that compares rule strength against independent occurrence → LIFT
  7. The process of organizing database attributes to reduce redundancy → NORMALIZATION
  8. A schema containing multiple fact tables sharing dimension tables → CONSTELLATION
  9. A schema in which dimension tables are normalized into related tables → SNOWFLAKE
  10. A schema with a central fact table connected directly to dimension tables → STAR
  11. An OLAP operation that moves from summarized data to detailed data → DRILLDOWN
  12. The process of physically storing precomputed query results → MATERIALIZATION
  13. The technique of dividing a large database table into smaller segments → PARTITIONING
  14. The number of attributes or features in a dataset → DIMENSIONALITY
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