DW&DM ACADEMIC EVENT III

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Across
  1. 2. percentage of transactions in D that contain AUB
  2. 4. data about data
  3. 7. multiple data sources may be combined
  4. 8. algorithm first regards each object as an initial cluster.
  5. 9. numeric attribute of a fact, representing the performance or behavior of the business relative to the dimensions
  6. 10. database consists of a file where each record represents a transaction
  7. 11. collection of data that describe one business dimension
  8. 13. Merges clusters based on their interconnectivity
  9. 14. sequence of mappings from a set of low-level concepts to higher- level, more general concepts
  10. 16. collection of related data items, consisting of measures and context data
  11. 17. visualization and knowledge representation techniques are used to present the mined knowledge to the user
  12. 18. model identifies patterns or relationships
  13. 20. remove noise or irrelevant data
Down
  1. 1. describes any type of processing performed on raw data to prepare it for another processing procedure
  2. 3. process where intelligent methods are applied to extract data
  3. 5. useful summary of a set of bivariate data
  4. 6. normalization and aggregation
  5. 12. percentage of transactions in D containing A that also contain B
  6. 15. identify the truly interesting patterns representing knowledge based on some interestingness measures
  7. 19. interactive database reporting tool