In any numerical data set with a meaningful mean value, what is the minimum fraction of data that will fall within n standard deviations of the mean?

Which of the following method can be used for modeling a categorical target variable?

Which of the following is not a primary phase of a Hadoop Reducer?

Which of these is a possible architecture of a data mining system?

True or False? Artificial neural networks are linear predictive models.

The measured differences between a model and its predictions are known as:

What is the measure of how much two random variables change together?

True or False? Tests in CART are always Binary.

A function used by a node in a neural net to transform input data from any domain of values into a finite range of values is known as a(n):

What is CRISP-DM?

True of False? Loose coupling data mining architecture is mainly for memory-based data mining systems that does not require high scalability and high performance.