Final answer:
Data mining is the process of extracting patterns from data in a data warehouse, using algorithms to uncover hidden patterns and insights that can inform decisions.
Step-by-step explanation:
The process of extracting patterns from data located in the data warehouse is called Data mining. Data mining involves using algorithms to discover patterns and correlations within large sets of data, which can then be used for decision making, predicting future trends, or gaining insights into customer behavior.
Unlike Data extraction, which simply involves retrieving data from various sources, data mining analyzes and makes sense of that data.
Data integration refers to the process of combining data from different sources into a single, unified view, and Data analytics is a broader term that involves the analysis of data to draw conclusions, but doesn't necessarily focus on the discovery of hidden patterns or predictive modeling as data mining does.
Data mining is the process of extracting patterns from data in a data warehouse, using algorithms to uncover hidden patterns and insights that can inform decisions.