1. Introduction
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2. Frequent Itemsets and Association Rules
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3. Association Rules and Interestingness measures.
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4. Preprocessing and Descriptive Statistics
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5. Descriptive Statistics II
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6. Clustering
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7. Clustering II
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8. Machine Learning
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9. Machine Learning II
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10. Machine Learning III
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11. Social Network Analysis
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12. Data Cubes
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13. Project Poster
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