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Data Mining

Data Mining

  1. What are the techniques in handling categorical attributes?
  2. How do continuous attributes differ from categorical attributes?
  3. What is a concept hierarchy?
  4. Note the major patterns of data and how they work.
  5. What is K-means from a basic standpoint?
  6. What are the various types of clusters and why is the distinction important?
  7. What are the strengths and weaknesses of K-means?
  8. What is a cluster evaluation?
  9. Select at least two types of cluster evaluations, discuss the concepts of each method.

600 words, APA7 citation