Define each of the following data mining functionalities: characterization, discrimination, association and correlation analysis, classification, prediction, clustering, and evolution analysis. Give examples of each data mining functionality, using a reallife database that you are familiar with.

In the clarification portion below, the definition according to the received information is summarized.

Explanation:

It is indeed a summary of general object characteristics in something like a target class and creates characteristic laws.

Just before predefined data types have been held to a different standard from everyone else, it's indeed bias which always happens.

It's a mechanism that determines the possibility that objects in a set will co-occur.

It is indeed duction which attributes elements to target groups or classes in a set.

It is solely dependent on either the interpretation of other similar values to classify data points.

It has been used to position the components of the information through their corresponding classes.

It would be for objects whose behavior varies throughout time to explain or design regularities.

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