Question

Contrast frequent patterns, associations, and correlations.

Answer 1

Frequent patterns are item sets, sub sequences, or substructures that appear in a data set with frequency no less than a user-specified threshold. For example, a set of items, such as milk and bread, that appear frequently together in a transaction data set, is a frequent item set

Association is a relationship between two random variables which makes them statistically dependent. It refers to rather a general relationship without specifics of the relationship being mentioned, and it is not necessary to be a causal relationship.For example, a certain smell can remind someone of their home, or a certain sound of another event that was important to them. The options are limitless, and none of them have to include either correlation or causation

Correlation is a measure of the strength of the relationship between two variables. The correlation coefficient quantifies the degree of change of one variable based on the change of the other variable. In statistics, correlation is connected to the concept of dependence, which is the statistical relationship between two variables.For example, if a study says that they found a correlation between smoking and lung cancer, that means that they analysed the data and found that, following the increase in tobacco and cigarettes usage, the number of patients with lung cancer also drastically increased. Of course, not every correlation means that the two variables are directly connected, they could be just coincidental overlaps.