Data mining
Data Mining
Data Mining (pronounced: /ˈdeɪtə ˈmaɪnɪŋ/) is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. The term is a misnomer, as the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining) of data itself.
Etymology
The term "Data Mining" appeared in the 1990s in the database community. It was originally used to denote the overall process of knowledge discovery in databases (KDD). The term was coined to mean "knowledge mining from data," or "knowledge mining," which was eventually shortened to data mining.
Related Terms
- Machine Learning: A type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.
- Statistics: The discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.
- Database Systems: A system designed to manage, store, and retrieve information. It is a software system that uses a standard method of cataloging, retrieving, and running queries on data.
- Knowledge Discovery in Databases (KDD): The process of discovering useful knowledge from a collection of data.
- Artificial Intelligence (AI): The simulation of human intelligence processes by machines, especially computer systems.
See Also
External links
- Medical encyclopedia article on Data mining
- Wikipedia's article - Data mining
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