DM

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Across
  1. 3. Computing giant which acquired Washington Post recently
  2. 7. Sixth step in the KDD process*
  3. 9. Sampling technique which ensures samples from all classes
  4. 10. Small scale Data warehouse*
  5. 11. Coefficient used for correlation analysis
  6. 12. Data which contains discrepancies
  7. 14. Cabinet minister for IT*
  8. 16. Technique to handle noisy data
  9. 17. Data object that does not follow the general behaviour of the data
  10. 19. Attributes which cannot be ordered
  11. 20. An association rule with multiple occurrences of some predicates
Down
  1. 1. Highest honour awarded in the Computing field
  2. 2. An Interestingness measure
  3. 4. Property which states that All non-empty subsets of a frequent itemset must also be frequent
  4. 5. The cuboid with lowest level of summarization
  5. 6. Collection of stars
  6. 8. Scaling an attribute within a specified range
  7. 13. Database with time-related attributes
  8. 15. Compression where only an approximation of the data can be reconstructed
  9. 18. Measure introduced by Shannon