Decision trees -------------- Ch. 4.3 (WF) Ch. 7 (SEG) Ch. 4.3 (PSK) SLIQ and SPRINT papers MapReduce --------- MapReduce paper Rule-Based Classifiers ---------------------- Ch. 6.2 (WF) Ch. 5.1 (PSK) Bayesian Classifiers -------------------- Ch. 4.2, 6.7 (WF), Ch. 6 (SEG) Ch. 5.3 (PSK) Classifier Evaluation --------------------- 5.1-5.6 (WF) Tutorial for ROC analysis in: http://home.comcast.net/~tom.fawcett/public_html/ROCCH/index.html Linear Classifiers, Kernel Trick, Support Vectors, Neural Nets -------------------------------------------------------------- Ch. 5.4, 5.5 (PSK) Ch. 7, 8 in: http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-034Spring-2005/LectureNotes/index.htm Recommender Systems ------------------- Ch.2 (SEG) Association Analysis -------------------- Ch. 6 (PSK) Ch. 7.1, 7.2, 7.3, 7.4, 7.5 (PSK) Cluster Analysis ---------------- 8.1, 8.2, 8.3, 8.4 (PSK) Note. The above list is for your reference. The material on the slides is the basis for the exam.