DW&DM ACADEMIC EVENT III

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