Blog

What does imbalanced data refer to in the context of data mining?

What is predictive modeling in data mining?

Assume you want to perform supervised learning and to predict number of newborns according to size of storks’ population (http://www.brixtonhealth.com/storksBabies.pdf), it is an example of

Data Reduction techniques aim to:

Data mining techniques can be broadly categorized as:

Discretization techniques convert continuous data into:

Dimensionality reduction techniques are useful when dealing with:

Which technique is used for discovering hidden patterns in large datasets?

When performing data aggregation, it’s important to consider:

What is the role of a training set in supervised learning?