CSCE 566/CMPS 499 Syllabus by Chapter

Spring 2017

Chapter 1: Top 10 Algorithms in Data Mining

Chapter 2: Decision Tree Construction

Chapter 3: Association Analysis

Chapter 4: Clustering

Chapter 5: Rule Induction, kNN and GA (3 Lectures)

Chapter 6: Bayesian Methods

Chapter 7: Dealing with Noise and Real-Valued Attributes (3 Lectures)

Chapter 8: Data Mining from Very Large Databases

March 16: Mid-Term Exam

Paper Presentations and Essay Writing

Last Week


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