Topics of the tasks should be as follows:
- Association rule mining
* Count frequent itemsets
* Mining association rules
* Building decision trees (including learning)
* kNN classification
* Evaluation of classification quality (accuracy, precision, recall, F-measure)
* Fuzzy c-Means
* Hierarchical clustering.
Each topic should include 3 tasks, supposing their increasing difficulty and timing to implement (i.e. trivial, easy, complex).
Task should consist of the following elements:
- Scenario (description of some subject domain, input and output)
- (KNIME or WEKA) workflow that implements given task (need to be done only after approving the scenario and dataset(s)).
Scenario and dataset(s) of the task should be relevant to Industry 4.0 topic (at least in easy and complex tasks; i.e. task should be about mining some machinery/sensor/plant etc. data)..