Big data analysis method in associated cloud service scene and cloud computing server

Abstract

The invention discloses a big data analysis method in an associated cloud service scene and a cloud computing server. Data analysis and scene recognition are performed based on a service data analysis model which completes training in advance; the associated business data processed by the business data analysis model is extracted from the acquired to-be-analyzed business data containing the business interaction event identifier and corresponds to the business interaction event identifier, so that different interaction conditions of the business data can be considered by utilizing the artificial intelligence model, therefore, accurate identification for different data application scenes is ensured, and high correlation between the to-be-analyzed business data and the data application scenes can be ensured. Therefore, high matching between the business data and the data application scene can be ensured, a service provider platform can be ensured to achieve user portrait mining of the business data according to identification results of different data application scenes, user portrait mining requirements of a service provider are met, and optimization of a service product is achieved.

Description

Technical field[0001]The present application relates to cloud business and large data technology, and in particular, there is a large data analysis method and a cloud computing server under related cloud business scenarios.Background technique[0002]The emergence of big data age is from some angles to the results of massive data and perfect computing capabilities. Specifically, it is a massive data that generates a massive amount of data such as the mobile Internet and the Internet of Things. The big data calculation technology solves the problem of collection, storage, calculation, analysis and other processing of massive data. At present, some companies, the company has also established a department related to big data, which can be seen that the big data has been highly valued by the company.[0003]In general, the value of big data is to minimize and apply, the scene applications of big data can be divided into the following categories: the first category is functional, the second ...

AI Technical Summary

Problems solved by technology

With the continuous improvement of cloud computing (Cloud Computing) business, the current application of big data scenarios needs to be carried out in combination with various related cloud business scenarios. However, for service providers, the application of big data mainly lies in the mining of user portraits, but This has always been a pain point for many service providers

[0004] The inventor found through research and analysis that the main cause of the above problems is the mismatch between business data and data application scenarios. Therefore, in order to meet the user portrait mining needs of service providers, it is necessary to accurately determine the data application scenarios corresponding to some business data

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