A process of applying algorithms for extracting patterns from data stored in data warehouses that are typically not apparent to human decision makers is called:
A) data mining.
B) data warehousing.
C) data denormalization.
D) databasing.

Question

Quizplus · Accepted Answer

The process described is data mining, which involves using algorithms to analyze large amounts of data in order to identify patterns and correlations that may not be readily apparent to human decision makers. Data warehousing and databasing are related concepts, but they refer to the storage and management of data rather than the analysis of it. Data denormalization is a technique for optimizing database performance, but it is not directly related to data mining.

A Process of Applying Algorithms for Extracting Patterns from Data