ITPEC FE Morning April 2020 Question 77

Data mining — analysing large volumes of data to find patterns and relationships that nobody specified in advance.

Data mining applies statistical and machine-learning techniques, such as association rules, clustering, classification and regression, to large stores of data, often a data warehouse. A classic result is an association such as customers who buy one product also tending to buy another, found in the data rather than tested as a prior hypothesis.

Answer (b)

Why not others:

• •(a) Brainstorming — a group technique for producing ideas, with no data analysis
• •(c) Decision tree — a diagram of decisions and outcomes, and one model that data mining may build; a technique, not the process of discovery itself
• •(d) Document analysis — reviewing existing documents, for example to gather requirements, not analysing large volumes of data

Key rule: Data mining is the discovery process; decision trees, clustering and association rules are techniques used within it.

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