When we talk about dating Ming, we mean that data mining is the extraction of information that resides implicitly in the data.
This information was previously unknown and may be useful in any process.
Data mining or data Mining is responsible for the preparation, survey and exploration of the data to obtain information that is not visible.
Under this procedure comprise all techniques used in extracting the information to be processed.
There is a link to the industrial processes because it is useful to obtain information stored in the database of the organization.
In place where the mining or data mining is in artificial intelligence and statistical analysis.
The use of mining techniques can address the solution to the problems that may occur in the prediction, the classification and segmentation.
As to the process data Mining one can mention the following points:
• Selection of the data set
Refers to the data you want to predict, estimate or infer that the calculations used to determine or processes.
• The analysis of the properties of the data
Are histograms, scatter plots, outliers and missing data.
• Transforming the input data set
Is performed according to the previous analysis to prepare and apply the data mining technique that best suits the information to be analyzed. This process is also known as Data Preprocessing.
• The selection and application of data mining techniques
It is when the model is built to perform prediction, classification or segmentation of information.
• Knowledge extraction
Is performed by a data mining technique, obtaining a knowledge model that will represent the patterns of behavior.
You can also use various techniques to generate different models simultaneously.
• The interpretation and evaluation of data
Be made once the model has been obtained, proving that the conclusions drawn are valid and satisfactory.