582635 Data Mining Project (ohtk 25.8.2011)
| Pääteemat | Esitiedot | Lähestyy oppimistavoitetta | Saavuttaa oppimistavoitteet | Syventää oppimistavoitteita |
|---|---|---|---|---|
|
Methods of data mining, in particular finding frequent patterns |
The concept of frequent patterns, A priori algorithm, closed sets, interestingness measures for patterns, handling non-binary data (course Data Mining) | Implements (or modifies from an existing implementation) an algorithm for finding frequent patterns that is reasonably efficient and suitable for the data and goals at hand | Defines a non-trivial pattern type that is appropriate for the task and implements an efficient algorithm for it | Develops a new pattern type and its implementation, designs a very generic algorithm and its implementation, or makes a very efficient implementation |
|
Applying the above methods to real data |
The concept of frequent patterns, A priori algorithm, closed sets, interestingness measures for patterns, handling non-binary data (course Data Mining) | Preprocesses the data appropriately and finds from it meaningful frequent patterns according to some measure of interestingness | Selects a suitable result set. Evaluates critically the produced patterns and suggests improvements to earlier stages of the data mining process | Produces genuinely interesting or meaningful results |
Printer-friendly version