The thinking mode of big data mainly includes

There are mainly classification, regression analysis, clustering, association rules, characteristics, variation and deviation analysis, web page mining and so on. They mine data from different angles.

Classification is to find out the similarities and differences of a group of data objects in the database and divide them into different classes according to the classification method. Its purpose is to map the data items in the database to a given category through the classification model.

Regression analysis method reflects the time characteristics of attribute values in transaction database, generates a function to map data items to real-valued predicted variables, and finds the dependency between variables or attributes. Its main research problems include the trend characteristics of data series, the prediction of data series and the correlation between data.