DW&DM ACADEMIC EVENT III

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