Table 11.1 from page 584 of: Johnson, Richard, and Dean Wichern. Applied Multivariate Statistical Analysis. 5th ed. Prentice-Hall, 2002. ISBN: 0-13-092553-5.
Classification and Bayes Rule, Naïve Bayes (PDF)
“Housing Database (Boston).” Publicly available data at University of California, Irvine School of Information and Computer Science, Machine Learning Repository of Databases.
Discriminant Analysis Example 2: Fisher’s Iris data (PDF)
“Iris Plant Database.” Publicly available data at University of California, Irvine School of Information and Computer Science, Machine Learning Repository of Databases.
Logistic Regression Case (PDF)
Discussion of homework - see Problem 1 in assignments section
Multiple Regression Review (PDF)
Multiple Linear Regression in Data Mining (PDF)
Regression Trees, Case: IBM/GM weekly returns
Comparison of Data Mining Techniques (PDF)
Discussion of homework - see Problem 2 in assignments section
k-Means Clustering, Hierarchical Clustering (PDF)
Case: Retail Merchandising
Example 1, Head Measurements of Adult Sons: Rencher, Alvin. Methods of Multivariate Analysis. 2nd ed. Wiley-Interscience, 2002. Table 3.7, p. 79. ISBN: 0-471-46172-5.
Example 2, Charactersitics of Wine: “Wine Recognition Database.” Publicly available data at University of California, Irvine School of Information and Computer Science, Machine Learning Repository of Databases.
Guest Lecture by Dr. Ira Haimowitz: Data Mining and CRM at Pfizer
Association Rules (Market Basket Analysis) (PDF)
Han, Jiawei, and Micheline Kamber. Data Mining: Concepts and Techniques. Morgan Kauffman Publishers, 2001. Example 6.1 (Figure 6.2). ISBN: 1-55860-489-8.
Recommendation Systems: Collaborative Filtering
Guest Lecture by Dr. John Elder IV, Elder Research: The Practice of Data Mining