With big data getting better and better, data mining has become a major trend for the future. Data mining is mainly the use of future trends and behaviors to make decisions on the foreground, basic knowledge. Here is the following huilongguan computer training for you to introduce the data mining has the function.

One, automatic prediction of trends and behaviors

Data mining in large databases to automatically query the predictive information, in the very early days, a large number of manual analysis of the problem can be quickly and directly from the data itself to get the conclusion.

II. Correlation Analysis

Data correlation is an important kind of knowledge that can be found in data. If there is a certain pattern between two and more variable values, this is called correlation. Correlation can be categorized into simple correlation, temporal correlation and causal correlation. One of the purposes of correlation analysis as found by Huilongguan IT training is mainly to find out the hidden networks in the database. The data associated in the database is sometimes unknown, sometimes known, sometimes uncertain, so the rules generated by correlation analysis have credibility.

Three, clustering

The records in the database can be divided into a series of meaningful subsets, that is, clustering. Clustering can improve people's understanding of objective reality, is the concept of notation and deviation analysis of the premise. Huilongguan IT training found that clustering mainly includes traditional pattern recognition methods and mathematical classification.

Four, conceptual description

Conceptual description is a description of the content of the target category, as well as a summary of the relevant features of such purposes. Conceptual description is divided into characteristic description and distinguishing description, describes the differences between different objects. Dragon View Computer Training believes that the development of a class of characterization will only affect the same elements of all objects ****. There are still many ways to differentiate the description, such as the decision tree method, genetics method, and so on.