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