Which of the Following Is a Difference Between Affinity Patterns

question 104

Multiple Choice

Which of the following is a difference between affinity patterns and predictive patterns?

• A) Affinity patterns are identified through unsupervised data mining, whereas predictive patterns are identified through supervised data mining.
• B) Affinity patterns are also known as sequence patterns, whereas predictive patterns are also known as association patterns.
• C) Affinity patterns look for database elements that seem to go together, whereas predictive patterns help identify database elements that are different.
• D) Affinity patterns appear when three or more database elements occur together in a significant way, whereas predictive patterns appear when two or more database elements occur together in a significant way.

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Definitions:

Initial State

Initial State refers to the beginning condition or situation from which a process, system, or problem-solving endeavor starts.

Ill-defined Problem

A problem that lacks a clear goal or solution path, making it difficult to solve through conventional methods.

Functional Fixedness

A cognitive bias that limits a person to using an object only in the way it is traditionally used, hindering creativity and problem-solving.

Mental Set

A framework or mindset that shapes an individual's approach to problem-solving and can sometimes limit the exploration of alternative solutions.