Self-healing rule mining method and device based on big data

A technology of data mining and rules, applied in data processing applications, electronic digital data processing, digital data information retrieval, etc., can solve the scope of application of rules, the efficiency of rule output, and the effect of rules cannot meet the needs of system self-healing and cannot be quickly adapted System changes, rule accuracy cannot be guaranteed, etc., to avoid human maintenance, reduce dependence on human experience, and save manpower

Pending Publication Date: 2020-06-05
CHINA MOBILE GROUP ZHEJIANG +1
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Problems solved by technology

This solution cannot radiate other problems beyond the scope of this fault. The individuality of each rule makes it unable to quickly adapt to system changes, and the rules can easily become invalid. From the perspective of the use effect of the rules, as the system changes, the accuracy

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  • Self-healing rule mining method and device based on big data
  • Self-healing rule mining method and device based on big data
  • Self-healing rule mining method and device based on big data

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Embodiment Construction

[0025] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0026] In order to overcome the above-mentioned problems in the prior art, the embodiment of the present invention provides a mining method for self-healing rules. Based on the basic data commonly used in the country, the connection between data is mined through association rules, and the excavated strong association rules are verified to determin...

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Abstract

The embodiment of the invention provides a self-healing rule mining method and device based on big data, and the method comprises the steps: collecting business data, performance data and log data assample data; preprocessing the sample data, and converting the sample data into a form suitable for data mining; association rule mining is carried out on the preprocessed sample data to obtain a certain number of strong association rules, wherein each strong association rule at least comprises service data and performance data; and verifying the strong association rule, and if the strong association rule inevitably corresponds to an abnormal phenomenon, taking the strong association rule as a self-healing rule. According to the embodiment of the invention, the dependence on human experience is greatly reduced, the energy investment of professionals is reduced, and a large amount of manpower is saved.

Description

technical field [0001] The present invention relates to the technical field of data mining, and more specifically, to a method and device for mining self-healing rules based on big data. Background technique [0002] In order to adapt to the increasing number of users and the continuous expansion of business types in the telecommunications industry, the design of the business acceptance system has also developed accordingly, showing the characteristics of complex architecture relationships, large node scale, and frequent system updates. In the face of such a complex, large and changeable "super" system, it is a huge challenge for the operation and maintenance personnel to maintain the goal of abnormally fast recovery. How to quickly locate subtle anomalies in a complex, large, and changeable system and quickly solve them? The current mainstream solution is to realize it through operation and maintenance automation. Driven by automated processes, the basis for judging self-h...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06Q50/30
CPCG06Q50/30Y02D10/00
Inventor 王璇舒锋戴安妮竺士杰
Owner CHINA MOBILE GROUP ZHEJIANG
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