Intro to data mining

Question 1:

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.

Question 2:

1. What is K-means from a basic standpoint?
2. What are the various types of clusters and why is the distinction important?
3. What are the strengths and weaknesses of K-means?
4. What is a cluster evaluation?