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Method for dynamic multi-image linkage analysis

A dynamic and graphical technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inflexible, fast, and in-depth exploration, and achieve the effect of rich functions, rich analysis functions, and fast convergence speed

Inactive Publication Date: 2018-09-25
冯海文
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] A method for dynamic multi-graph linkage analysis of the present invention aims at collecting and sorting out a large amount of data in the current business intelligence system and big data system, but cannot flexibly, quickly and deeply explore the laws and characteristics of these data, and reveal the problems and problems of the business support system. Insufficient business problems provide a dynamic multi-graph linkage analysis method to quickly and flexibly discover data rules, characteristics or abnormalities, and locate specific data to serve business support and business optimization

Method used

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Embodiment Construction

[0037] In order to make the purpose and technical solution of a method for dynamic multi-image linkage analysis of the present invention clearer, the implementation method and technical details are described in detail below in conjunction with sample data of telecom operators. In this way, the implementation process of how to apply technical means to solve technical problems and achieve technical effects in the present invention can be fully understood and implemented accordingly.

[0038] Analyzing graphics found abnormalities

[0039] Anomalies are discovered by analysts. Since anomalies are uncertain, analysis graphics should provide support for analysts to quickly discover anomalies. Even if the analysis graph is flexible enough, it can ensure that the abnormality will be prominent and eye-catching, and it is easy to attract the attention of the analyst and then capture it.

[0040] Analytical graphics are sufficiently flexible through the following aspects:

[0041] 1. ...

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Abstract

The invention relates to a method for dynamic multi-image linkage analysis. The method overcomes the shortcoming that the existing intelligence system and the existing big data system collect mass data but cannot discover rules and characteristics of the data flexibly, quickly and deeply, and reveals business support system problems and business problems. The method aims at discovering data rules,features or abnormality quickly and flexibly and locating the specific data to provide business support and business optimization service. According to the method, an analyst autonomously judges andanalyzes whether an image contains abnormality, a data piece containing the abnormality is analyzed in another analysis image by increasing sufficient analyzing images dynamically, the range of abnormal data is reduced continuously by means of multi-image recursion and constant determination of dimension values, finally values of all dimensions are determined, and the abnormality is limited in thedata piece with the finest grit, so that the quick accurate location of the abnormality is achieved.

Description

technical field [0001] The invention belongs to the field of business intelligence and big data of computer technology, and in particular relates to a method for dynamic multi-graph linkage analysis. Background technique [0002] The current business intelligence and big data systems collect and organize a large amount of data, which contains a large amount of characteristic information of the business support system, business and customers. Analyzing the rules and characteristics of these data can be used to optimize the business support system, improve business and It is also the main purpose of building business intelligence systems and big data systems. [0003] The data analysis of the current business intelligence system and big data system is mostly constructed and realized in the form of reports. Reports need to be prefabricated, which is not flexible enough to discover data laws, characteristics and problems in a timely and rapid manner, and cannot achieve rapid , ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F8/38
Inventor 冯海文
Owner 冯海文