Prepare tasks for computer practice of the Data Mining course.

Topics of the tasks should be as follows:

- Association rule mining

* Count frequent itemsets

* Mining association rules

- Classification

* Building decision trees (including learning)

* kNN classification

* Evaluation of classification quality (accuracy, precision, recall, F-measure)

- Clustering

* k-Means

* 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)

- Dataset(s)

- (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)..

Compétences : Exploitation de Données

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Concernant l'employeur :
( 0 commentaires ) chelbinsk, Russian Federation

Nº du projet : #20072106

4 freelance font une offre moyenne de $188 pour ce travail


Hi I had a PhD in computer science. My area of expertise is data mining. I think I can help you. Please contact me. Many thanks.

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