Different types of data mining techniques enable different types of learning tasks. Which of the following about data mining techniques are correct? Select all that apply.

A.Sequence analysis uses unsupervised learning techniques to identify association rules from transactions of items (e.g., products sold).

B.Clustering is a major type of unsupervised learning technique that identify naturally-occurring groups among items (e.g., customers).

C.Linear regression is a supervised learning technique that find association among variables in data instances.

D.Decision trees, neural networks, and support vector machines are examples of unsupervised learning techniques.

E.Logistic regression is used primarily to predict large continuous values such as sales figures.