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Module 2: Data Mining and Association Rule Mining

20202m

Background knowledge referred to

(i) additional acquaintance used by a learning algorithm to facilitate the learning process
(ii) a neural network that makes use of a hidden layer
(iii) it is a form of automatic learning
(iv) None of the above

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Answer: (i) additional acquaintance used by a learning algorithm to facilitate the learning process

Background knowledge refers to prior/domain knowledge (concept hierarchies, known constraints, expert rules, etc.) that is supplied to a learning/mining algorithm in addition to the raw training data, to guide and improve the learning process — e.g., helping generalize concepts, constrain hypothesis search, or interpret discovered patterns more meaningfully.

It is not itself a specific architecture like a hidden-layer neural network (ii), nor a synonym for "automatic learning" in general (iii) — it's specifically the extra contextual information fed into a learning system.

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