Cloud computation treating system and method

Abstract

The invention discloses a cloud computation treating system and a method. The system comprises a client end, a database, a logical cloud server and a data analyzing platform, wherein the client end is used for sending out a request to the data analyzing platform; the database is used for storing data; the logical cloud server is used for setting a plurality of logics and providing the specific logics to the data analyzing platform according to different conditions; and the data analyzing platform is connected with the client end, the database and the logical cloud server and is used for receiving the request which is sent out by the client end, obtaining the logics of the logical cloud server according to the parameter of the request, also carrying out operational treatment by the logics through combining the data in the database and returning a treating result to the client end. According to the cloud computation treating system and the method which are provided by the invention, the data safety of an enterprise is effectively protected; and meanwhile, cloud computation service is provided, and the predicament of SaaS confronted in China is solved. Meanwhile, the obstruction on a data excavation technology, which is caused by structurized data or incomplete and non-standard informatization to which a traditional data excavation company faces, is also solved.

Description

technical field [0001] The invention belongs to the field of network and computer technology, and relates to a cloud computing processing system, in particular to a cloud computing processing system with a novel cloud architecture; at the same time, the invention also relates to a cloud computing processing method with a novel cloud architecture. Background technique [0002] Data mining is the process of extracting hidden, unknown, but potentially useful information and knowledge from a large amount of incomplete, noisy, fuzzy, random data. . With the rapid development of information technology, the amount of data accumulated by people has increased rapidly, and how to extract useful knowledge from massive Internet data has become a top priority. Data mining is a key step in knowledge discovery in database. In general, it can be divided into three stages: data preparation, data mining, and interpretation and expression of mining results. The detailed process is as follow...

AI Technical Summary

Problems solved by technology

[0012] Under the existing cloud computing model, the cloud computing server is set at the remote end, and various calculations and processing are performed under the remote cloud computing server; at the same time, the cloud computing service provider usually needs the basic data source of the cloud computing service demand side However, service demanders (enterprises) are generally unwilling to hand over their internal information and data to service providers. Therefore, SaaS is facing difficulties in China, which leads to obstacles in data mining in the human environment.

In addition, the structured data or informatization faced by traditional data mining companies is not thorough and non-standard, which leads to obstacles in data mining technology

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