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Examples of using probabilistic and statistical methods in data engineering (information retrieval, data mining). Basic knowledge of statistics is required.
| Time and Location | Mon 9:00 - 10:30 in S7 |
|---|---|
| Summer Term | 2/0 Ex |
| Information in SIS: | NDBI019 |
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Syllabus
Statistics and data mining - similarities and differences.
Statistical methods in data mining. Searching for various types of dependence - correlation analysis, regression models, contingency tables, time series analysis.
Bayesian data analysis, Bayesian networks.
Probabilistic models of document retrieval.
