Respuesta :
Answer:
In the clarification portion below, the definition according to the received information is summarized.
Explanation:
- Characterization:
It is indeed a summary of general object characteristics in something like a target class and creates characteristic laws.
- Discrimination:
Just before predefined data types have been held to a different standard from everyone else, it's indeed bias which always happens.
- Association:
It's a mechanism that determines the possibility that objects in a set will co-occur.
- Classification:
It is indeed duction which attributes elements to target groups or classes in a set.
- Prediction:
It is solely dependent on either the interpretation of other similar values to classify data points.
- Clustering:
It has been used to position the components of the information through their corresponding classes.
- Evolution Analysis:
It would be for objects whose behavior varies throughout time to explain or design regularities.
