Data Mining: Extracting knowledge from data
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Wednesday 23 February |
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16:30 - 17:25 |
Lecture 5 |
Data Mining: Extracting knowledge from data |
Petr Olmer |
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A hidden knowledge can be stored in
databases. How to discover it? How can we search for an
answer, if we do not know a question? Data mining can help.
The objective of the lecture is to introduce basic methods
of knowledge discovery in structured data, and also in an
unstructured text. |
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1. What and why
2. Data mining as a process
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CRISP-DM method
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Predictive and
descriptive tasks
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Concepts,
instances, attributes
3. Models and algorithms
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Decision trees
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Classification rules
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Association rules
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k-nearest neighbors
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Cluster analysis
4. Text mining: How does
Google News work
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