In the case of ________,data miners develop models prior to conducting analyses and then apply statistical techniques to data to estimate parameters of the models.
A)unsupervised data mining
B)supervised data mining
C)pull publishing techniques
D)push publishing techniques

Question

Quizplus · Accepted Answer

Supervised data mining is characterized by the presence of a training dataset, in which data miners develop models prior to conducting analyses and then apply statistical techniques to estimate parameters of the models. In contrast, unsupervised data mining involves exploring data without any previous knowledge or hypothesis, looking for patterns or relationships that may emerge from the data itself. Pull and push publishing techniques refer to the way in which information is delivered to users, and are not related to the methodology used for data mining.

In the Case of ________,Data Miners Develop Models Prior to Conducting