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data mining

The process of extracting and discovering patterns in large data sets

EntityQ172491

Also known as data discovery · datamining · knowledge discovery · information mining · mining of data · mining data

Subclass of: discovery
, text and data mining

Overview

From Wikipedia, the free encyclopedia · Read full article · Text CC BY-SA 4.0

Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.

Overview

All data

80 statements · 19% with external sources · numbers in brackets are citations

Facet of: artificial intelligence
machine learning
database
algorithm
multivariate statistics
Different from: mining data

On other databases

59 identifiers linking data mining across the web's reference databases

Data quality

statements

19%

externally sourced

Source last edited August 6, 2026. AIDB refreshes this page daily.

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AIDB. (2026). data mining (Q172491). Retrieved from https://aidb.si/e/data-mining-Q172491