In ________, data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.
A) cluster analysis
B) unsupervised data mining
C) supervised data mining
D) click streaming
E) metadata matching

Question

Quizplus · Accepted Answer

In supervised data mining, a model is developed prior to the analysis, and statistical techniques are applied to data to estimate parameters of the model. This type of data mining is often used in predictive analytics, where the goal is to develop a model that can accurately predict future outcomes based on historical data. Cluster analysis and unsupervised data mining do not involve the development of a model prior to analysis, while click streaming and metadata matching are not related to statistical techniques for estimating model parameters.

In ________, Data Miners Develop a Model Prior to the Analysis