Data mining
Understand the Problem
The question appears to refer to the general concept of data mining, which involves extracting useful information from large datasets. Since it is a broad term, it may include different aspects such as techniques, tools, or applications.
Answer
Data mining identifies patterns and extracts insights from large data sets.
Data mining is the process of identifying patterns and extracting useful insights from large data sets, using methods at the intersection of machine learning, statistics, and database systems.
Answer for screen readers
Data mining is the process of identifying patterns and extracting useful insights from large data sets, using methods at the intersection of machine learning, statistics, and database systems.
More Information
Data mining techniques involve hypothesis testing, data modeling, machine learning, and data visualizations to discover patterns and relationships. It is a key component in business analytics for making data-driven decisions.
Tips
Confusing data mining with data warehousing or data collection is common; data mining specifically focuses on analyzing data to discover patterns.
Sources
- Data mining - Wikipedia - en.wikipedia.org
- IBM: What is Data Mining? - ibm.com
- What is data mining? | Definition from TechTarget - techtarget.com
