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Data Mining Five (5) Different
Definition and Reference
DEFINITION NO 1 :-
Data mining is the computing process of discovering patterns in
large data sets
involving methods at the intersection of machine learning, statistics, and
database systems. It is an interdisciplinary subfield of computer
science.
Reference : https://en.wikipedia.org/wiki/Data_mining
DEFINITION NO 2 :-
Data mining is a process used by companies to turn raw data into useful
information. By using software to look for patterns in large batches of data,
businesses can
learn more about their customers and develop more effective marketing strategies as
well as increase sales and decrease costs.
Reference : www.investopedia.com/terms/d/datamining.asp
DEFINITION NO 3 :-
Data
mining, also called knowledge discovery in databases, in computer
science, the process of discovering
interesting and useful patterns and relationships in large volumes of data. The
field combines tools from statistics and artificial
intelligence (such as neural networks and machine learning) with database management to analyze large digital collections, known
as data sets. Data mining is widely used in business (insurance,
banking, retail), science research (astronomy, medicine), and government
security (detection of criminals and terrorists).
Reference : https://www.britannica.com/technology/data-mining
DEFINITION NO 4:-
Data mining requires a class
of database applications that
look for hidden patterns in a group of data that can be
used to predict future behavior. For example, data mining software can help
retail companies find customers with common interests.
The
phrase data mining is commonly misused to describe software that presents data
in new ways. True data mining software doesn't just change the presentation,
but actually discovers previously unknown relationships among the data.
Reference : http://www.webopedia.com/TERM/D/data_mining.html
DEFINITION NO 5 :-
Data Mining is defined as the
procedure of extracting information from huge sets of data. In other words, we
can say that data mining is mining knowledge from data. The tutorial starts off
with a basic overview and the terminologies involved in data mining and then
gradually moves on to cover topics such as knowledge discovery, query language,
classification and prediction, decision tree induction, cluster analysis, and
how to mine the Web.
Reference : https://www.tutorialspoint.com/data_mining/
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