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The concept of data mining , from the English language, is often mentioned in our language as data mining . The notion is linked to the procedure that is carried out to detect patterns in a lot of data.

The purpose of data mining is extract certain information from a mass of data to create a structure that can be understood and used. For this it uses database systems, techniques of the statistics and other resources.

Data mining analyzes and processes the data in search of some pattern or model . Once a certain structure is discovered, it seeks to make it visible so that it is possible to work with it.

In this way, through a semi-automatic or automatic analysis of the data , data mining manages to discover patterns that, until now, were unknown. From then on, additional tasks or activities arise that, although they do not belong to the specific field of data mining, are part of their universe.

It can be said that the data mining process begins with the selection of the data mass. Then proceed to the analysis of their properties to transform and extract information that can be interpreted and evaluated.

More precisely, we can state that data mining consists of three clearly defined stages or phases:
-The determination of the objectives. That is, it is about establishing what goals are pursued with that process. It is he who orders it who decides them and then lets them know, naturally, the data mining professional.
-Preprocessing of the data. It consists of what is the selection, cleaning, enrichment, reduction and even change in what are the databases that are key in the process.
-The choice of the model. This stage, in turn, we can establish that it is divided into several parts. Thus, first, the statistical analysis of the data is carried out. And then, secondly, it develops what is the graphic display of those.
-The analysis of the results obtained, with which it will be possible to know at what point it has been reached and also if the goals intended by the person in charge of the data mining process have been achieved.

Data mining can be used, for example, to detect possible terrorists . Through the analysis of millions of phone calls, emails and communications of different types, it is possible to discover some pattern that allows identifying people They plan to commit an attack.

A company You can also use data mining to search for certain variables among the data you have of your customers and thus offer a certain product only to those that meet some requirements.

Precisely in that sense, supermarkets and hypermarkets can find a great ally in data mining. And, for example, if thanks to that they know the habits of their customers regarding the weekend they can be clear about the products that are consumed most during that period and thus make them more attractive or even put them more at hand . In this way, they will satisfy customers and improve their sales.

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