Form of midterm: written test.
Close books/notes, but 3 pages of cheat sheets are allowed.
Calculators (numerical calculation only) are allowed.
Chapter 1: concept questions
Chapter 2: concept questions
Chapter 3: concept questions (types of data-mining tasks - classification, regression, association, clustering, etc)
Chapter 4: concept questions; the working of 1R, naive Bayes, decision trees, PRISM, association-rule mining, instance based learning, and clustering on a very small dataset.
Chapter 5: concept questions (5.1 - 5.5)
Chapter 6: concept questions (6.1 - 6.2)
Chapter 8: concept questions (8.1 - 8.2)