Data mining
Data mining is the process of extracting useful information
from large sets of data. It involves using various techniques from statistics,
machine learning, and database systems to identify patterns, relationships,
and trends in the data. This information can then be used to make
data-driven decisions, solve business problems, and uncover hidden
insights.
“Mining” is the process of extraction of some valuable material from the
earth e.g. coal mining, diamond mining, etc.
In the context of computer science, “Data Mining” can be referred to
as knowledge mining from data, knowledge extraction, data/pattern
analysis, data archaeology, and data dredging.
It is basically the process carried out for the extraction of useful
information from a bulk of data or data warehouses.
Gregory Piatetsky-Shapiro coined the term “Knowledge Discovery in
Databases” in 1989.
However, the term ‘data mining’ became more popular in the business
and press communities.
Currently, Data Mining and Knowledge Discovery are used
interchangeably.
, Main Purpose of Data Mining
Data mining has been integrated with many other techniques
from other domains such as statistics, machine learning, pattern recognition,
database and data warehouse systems, information retrieval,
visualization, etc. to gather more information about the data and to helps predict
hidden patterns, future trends, and behaviors and allows businesses to make
decisions.
Data mining is the process of extracting useful information
from large sets of data. It involves using various techniques from statistics,
machine learning, and database systems to identify patterns, relationships,
and trends in the data. This information can then be used to make
data-driven decisions, solve business problems, and uncover hidden
insights.
“Mining” is the process of extraction of some valuable material from the
earth e.g. coal mining, diamond mining, etc.
In the context of computer science, “Data Mining” can be referred to
as knowledge mining from data, knowledge extraction, data/pattern
analysis, data archaeology, and data dredging.
It is basically the process carried out for the extraction of useful
information from a bulk of data or data warehouses.
Gregory Piatetsky-Shapiro coined the term “Knowledge Discovery in
Databases” in 1989.
However, the term ‘data mining’ became more popular in the business
and press communities.
Currently, Data Mining and Knowledge Discovery are used
interchangeably.
, Main Purpose of Data Mining
Data mining has been integrated with many other techniques
from other domains such as statistics, machine learning, pattern recognition,
database and data warehouse systems, information retrieval,
visualization, etc. to gather more information about the data and to helps predict
hidden patterns, future trends, and behaviors and allows businesses to make
decisions.
