DATA MINING definition
What is Data Mining?
Data mining, also known as knowledge discovery, is a rapidly
developing trend in knowledge management. Once been used by scientists, data mining
has become a tool for managers, analysts and experts in commercial
and government structures all over the world.
Data mining techniques operate with large volumes of data. The
accumulated information is placed into databases, also called data
Depending on the field of data mining application, the technique
is defined as a data warehouse processing or as a set of processes,
related to knowledge discovery. Find out more about data mining: view
data mining definitions.
Data Mining Definition #1
Data Mining (DM) is a set of processes related to analysing and
discovering useful, actionable knowledge buried deep beneath large
volumes of data stores or data sets. This knowledge discovery
involves finding patterns or behaviours within the data that lead to
some profitable business action or to new discoveries in science.
Obtained key variables can be used to build predictive models for
Data Mining Definition #2
Data Mining (also known as knowledge discovery) is a process of
automatically searching data warehouses for hidden patterns and
behaviours. Main data mining techniques are: statistics, machine
learning, pattern recognition.
Data Mining Definition #3
Data Mining is an analytical technique, based on various
disciplines: machine learning, pattern recognition and
visualisation, modelling, evolutionary computation, statistical
Data Mining Definition #4
Data Mining can be defined as a process of information extraction. It's aim is
to discover hidden facts contained in databases.