Datamining concept
What is Datamining or Data Mining?
Datamining, also known as data mining or data mining in Spanish territory, is a compilation of techniques that are carried out to explore databases of considerable size, search between files and program files or statistics automatically, or semi-manually with the intention of finding some type of pattern or information not available to the naked eye for the average user.
Carrying out this series of processes is something that usually involves the use of statistical knowledge or even the development and use of specialized algorithms in the search to find the desired information. In recent years, at the same time, with the rise of artificial intelligence, programming has become specialized in such a way that it has already been able to create various AIs with which to perform data mining in certain sectors.
Giving a general term about this concept is complicated, especially when talking about its implementation, since there are as many variants as possible cases. In general, it is possible to establish four specific phases that are applied to a greater or lesser extent when talking about data mining: establishing the objectives, prior data processing, establishing the model to be used, reviewing results.
From these four basic points, we can find hundreds of different manifestations of datamining. There are cases in which it is done manually, checking and reviewing files one by one; while in others, especially when working with large volumes of data (see, Big Data), it is common to resort to complex algorithms or even the aforementioned AI.
What is Datamining for?
Datamining is intended to reveal information that could not be found otherwise. In databases, it is used to find patterns; but it can also be used in files, folders or information sets to find missing details, guidelines and even make predictions based on the analysis of the data that have been obtained.
It is one of the techniques most used today in many areas, especially within digital marketing. Fields such as SEO, for example, can benefit from this set of techniques when developing strategies to scale positions.
Datamining examples
As an example of Datamining, we can think of an analysis of all the traffic that moves on the NeoAttack Projects page. By extracting all the information from the visits and using data mining, interesting conclusions can be obtained and user behavior patterns can be detected. Sectors of the population, ages and a long etcetera can be revealed thanks to this.
More about Datamining
Datamining is a fairly deep world and full of gaps to know. If you need to get more information about this data mining, not crypto mining, take a look at the content that we are going to provide you.
