What functions does data mining have?

1, automatic prediction of trends and behavior

Data mining in large databases 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.

2, 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 as simple correlation, event correlation and causal correlation. Where the purpose of correlation analysis is mainly to find out the hidden networks in the database. The data associated in the database is sometimes unknown, sometimes known, and sometimes uncertain, so that the rules generated by correlation analysis have credibility.

3, clustering

Database records can be divided into a series of meaningful subsets, that is, clustering. Clustering can improve people's understanding of objective reality, is the conceptualization and bias analysis of the premise. Clustering consists mainly of traditional pattern recognition methods and mathematical classifications.

4. 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 descriptions are categorized into characteristic descriptions and distinguishing descriptions, which describe the differences between different objects. Developing a class of characteristic descriptions will only affect the ***same elements of all objects. There are still a variety of methods for performing a distinguishing description, such as decision tree methods, genetic methods, etc.