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Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)
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Last update: Jirát Jiří Ing. Ph.D. (31.01.2014)
Students will be able to: Understand knowledge discovery in data. |
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Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)
R:Larose, D. T. Discovering Knowledge in Data: An Introduction to Data Mining. Wiley-Interscience, 2004. ISBN 0471666572. |
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Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)
https://edux.fit.cvut.cz/courses/BI-VZD/ (login necessary) |
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Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)
1. Introduction to data mining, data preparation, data visualization. 2. Statistical analysis of data. 3. Data model, nearest neighbour classifier. 4. Training, validation and testing, model's quality evaluation. 5. Artificial neural networks in data mining. 6. Unsupervised neural networks - competitive learning 7. Probability and Bayesian classification. 8. Decision trees and rules. 9. Neural networks with supervised learning. 10. Cluster analysis. 11. Combining neural networks and models in general. 12. Data mining in the Clementine environment. 13. Text mining, Web mining, selected applications, new trends. |
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Last update: Jirát Jiří Ing. Ph.D. (31.01.2014)
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Teaching methods | ||||
Activity | Credits | Hours | ||
Účast na přednáškách | 1 | 28 | ||
Práce na individuálním projektu | 0.5 | 14 | ||
Příprava na zkoušku a její absolvování | 1.1 | 30 | ||
Účast na seminářích | 1 | 28 | ||
4 / 4 | 100 / 112 |