Which of the following is true of unsupervised data mining?
A) Analysts do not create a model or hypothesis before running the analysis.
B) Neural networks is a popular unsupervised data mining application.
C) Unsupervised data mining requires tools such as regression analysis.
D) Unsupervised data mining requires analysts to fit data to suggested hypotheses.

Question

Quizplus · Accepted Answer

Unsupervised data mining involves discovering patterns or relationships in data without a prior model or hypothesis being created by the analyst. The analysis is exploratory in nature and seeks to uncover hidden structures or information within the data. Neural networks, while often used in data mining, are a type of supervised learning, not unsupervised. Regression analysis is a tool commonly used in supervised, not unsupervised data mining. Data fitting to suggested hypotheses is also a feature of supervised, not unsupervised data mining.

Which of the Following Is True of Unsupervised Data Mining