Data analysis software development framework system

Abstract

The invention provides a data analysis type software development framework system, which includes a client framework module, a server execution engine, a server basic class library module, and an interface, and the server basic class library module includes a basic class library, a matrix class library, and a data source class library , Data visualization class library, mathematical operation class library, algorithm class library, data processing class library. The beneficial effects of the present invention are: rapid development of algorithms for data analysis, rapid integration of existing algorithms for data analysis, expansion of data analysis software system functions, and reduction of software development costs; according to the flow characteristics of data analysis in reality, the use of process flow and To solve the actual data analysis / system modeling related affairs by means of operation, different solutions can be completed through different process flows and operations, reducing the cost of enterprise software use; from the design of the underlying library of the framework to the software cross-platform, big data aspects The implementation has been carried out, the scope of use of the software has been expanded, and the service objects of the software have been expanded.

Description

technical field [0001] The invention belongs to the computer field of data analysis, business intelligence, decision support, etc., and relates to software for statistical analysis, data mining, text mining, mathematical optimization, data processing, machine learning, and big data processing driven by process flow Development Technology. Background technique [0002] With the rapid development of informatization construction in enterprises, governments and other units, more and more data and the amount of information it contains, how to use these data containing a huge amount of information is a matter of concern to everyone. As the core technology of business intelligence, data analysis (statistics, mining) has become one of the key issues concerned by enterprise management. Since the 1990s, international large-scale enterprises have generally begun to adopt business intelligence technology to update business management. replacement. However, the needs of different custo...

AI Technical Summary

Problems solved by technology

[0015] ●Unable to quickly integrate existing algorithms, develop new algorithms and software systems for data analysis, resulting in high cost of enterprise software development

[0016] ●In the process of actual data analysis / system modeling, the software operation is unfriendly and does not conform to the business operation mode

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