The process of identifying and correcting errors in data is called:

Binary attribute are

Ethical considerations in data mining include:

How does the kNN algorithm classify a new data point?

Which technique is used for handling missing values in a dataset?

Discretization techniques convert continuous data into:

Dimensionality reduction techniques are useful when dealing with:

Feature selection helps to:

In kNN classification, how is the distance between data points typically calculated?

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