| 1 |
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Introduction |
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| 2 |
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Data Mining and Data Warehouse - Database |
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| 3 |
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Data Mining and Data Warehouse - Data Warehouse |
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| 4 |
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Data Mining Process and Applications |
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| 5 |
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Data Mining Methods |
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| 6 |
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Classification with Decision Trees |
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| 7 |
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Classification with Decision Trees |
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| 8 |
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Classification with Decision Trees |
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| 9 |
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Classification and Regression Trees |
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| 10 |
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MID-TERM EXAM |
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| 11 |
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Classification with K-Nearest Neighbor Algorithm |
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| 12 |
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Naive Bayes Classifiers |
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| 13 |
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Classification with Support Vector Machines |
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| 14 |
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Clustering |
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| 15 |
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Association Rules |
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| 16 |
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FINAL EXAM |
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| 17 |
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FINAL EXAM |
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