Data mining system based on large data

Abstract

The invention discloses a data mining system based on large data. The data mining system based on the large data comprises an information system, a data mining application server and an industry client; the information system is used for collecting and processing industry data of user preset conditions, and accessing the processed industry data into the system through a bus; the data mining application server is used for extracting, converting and loading the industry data preset for a user, and leading data mining results into the industry client; the industry client is used for providing analyzed and processed final data to the user to be extracted by the user. When the data mining system based on the large data is used, the user can preset different industry data such as bank data, gene sequences and financial control according to own needs, and the data mining application server carries out targeted analysis and processing according to the preset conditions of the user. The data mining system based on the large data is simple in structure, clear in purpose and high in efficiency.

Description

[0001] The present invention relates to a data mining system, and more specifically, to a data mining system based on big data. Background technique [0002] Data mining refers to the process of analyzing and summarizing a large amount of collected data with appropriate statistical analysis methods, extracting useful information and forming conclusions to study and summarize the data in detail. This process is also a supporting process of the quality management system. In practice, data mining can help people make judgments so that appropriate actions can be taken. The mathematical basis of data mining was established in the early 20th century, but it was not until the advent of computers that practical operations became possible and data mining was popularized. Data mining is the product of the combination of mathematics and computer science. [0003] There are two main reasons for the formation of data diversification: First, there are many data sources, including search e...

AI Technical Summary

Problems solved by technology

[0004] The current problems faced by data mining are diverse requirements such as large amount of data, multiple structural forms, and real-time performance. These problems increase the difficulty of data mining and integration. The architecture design of traditional data mining systems is complex, inefficient, and not targeted. powerful

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