What are the techniques that apply algorithms for extracting patterns from data stored in data warehouses that are typically not apparent to human decision makers are known as?

What are the techniques that apply algorithms for extracting patterns from data stored in data warehouses that are typically not apparent to human decision makers are known as?

• A. Data mining or knowledge discovery in databases
• B. Statistical generation from warehoused data
• C. Evidence generation from warehoused data
• D. Data retrieval and cleansing

Answer: (A)

Data mining, also called knowledge discovery in databases, is the process of applying algorithms to data stored in data warehouses to uncover patterns that aren’t obvious to decision makers. This means using statistical methods, machine learning, and pattern-recognition techniques to reveal trends, associations, clusters, or predictive models from large clinical data sets. Data mining goes beyond simply retrieving or cleaning data; it seeks the hidden insights that can inform better decisions in patient care, operations, and outcomes. The other terms don’t specifically describe this discovery process—retrieval and cleansing deal with getting and cleaning data, while the others aren’t standard labels for the pattern-finding techniques used in data warehouses.

Data mining, also called knowledge discovery in databases, is the process of applying algorithms to data stored in data warehouses to uncover patterns that aren’t obvious to decision makers. This means using statistical methods, machine learning, and pattern-recognition techniques to reveal trends, associations, clusters, or predictive models from large clinical data sets. Data mining goes beyond simply retrieving or cleaning data; it seeks the hidden insights that can inform better decisions in patient care, operations, and outcomes. The other terms don’t specifically describe this discovery process—retrieval and cleansing deal with getting and cleaning data, while the others aren’t standard labels for the pattern-finding techniques used in data warehouses.