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Data Mining Overview (PDF)
Prediction and Classification with k-Nearest Neighbors
Example 1: Riding Mowers (PDF)
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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. |
| 2 |
Classification and Bayes Rule, Naïve Bayes (PDF) |
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| 3 |
Classification Trees (PDF) |
"Housing Database (Boston)." Publicly available data at University of California, Irvine School of Information and Computer Science, Machine Learning Repository of Databases. |
| 4 |
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. |
| 5 |
Logistic Regression Case (PDF)
Handlooms (PDF) |
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| 6 |
Neural Nets (PDF) |
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| 7 |
Discussion of homework - see Problem 1 in assignments section |
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| 8 |
Multiple Regression Review (PDF) |
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| 9 |
Multiple Linear Regression in Data Mining (PDF) |
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| 10 |
Regression Trees, Case: IBM/GM weekly returns
Comparison of Data Mining Techniques (PDF)
Discussion of homework - see Problem 2 in assignments section |
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| 11 |
k-Means Clustering, Hierarchical Clustering (PDF) |
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| 12 |
Case: Retail Merchandising |
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| 13 |
Midterm Exam |
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| 14 |
Principal Components (PDF) |
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.
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| 15 |
Guest Lecture by Dr. Ira Haimowitz: Data Mining and CRM at Pfizer |
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| 16 |
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. |
| 17 |
Recommendation Systems: Collaborative Filtering |
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| 18 |
Guest Lecture by Dr. John Elder IV, Elder Research: The Practice of Data Mining |
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