Mining Minds: A Data Mining Crossword

12345678910111213141516
Across
  1. 2. A standard process for data mining, initiated in 1996.
  2. 11. A set of items found together in a shopping basket.
  3. 13. The initial phase after business understanding, where data is collected and explored.
  4. 14. The overall topic of Unit 4: Introduction to ___ ___.
  5. 15. An example of an item found in a shopping basket, along with butter and eggs.
  6. 16. After modeling, the model is ___ to ensure it meets business objectives.
Down
  1. 1. A measure of how likely item Y is purchased with item X, controlling for Y's popularity.
  2. 3. The phase where data is prepared for modeling.
  3. 4. This metric measures the likelihood of item Y being bought when item X is purchased.
  4. 5. The first phase in CRISP-DM, focusing on project goals.
  5. 6. This phase involves building and calibrating models.
  6. 7. The output of association rule mining often described as "if this, then that".
  7. 8. When association rule mining is applied to sales data, it's called ___ Basket Analysis.
  8. 9. An application of association rules, seen on e-commerce sites like Amazon, for product ___.
  9. 10. The final phase where the model is put into use.
  10. 12. This measurement indicates how popular an itemset is, based on its appearance in transactions.