Alarm monitoring strategy analysis method based on data mining technology

A data mining and monitoring strategy technology, applied in data mining, data exchange network, electrical digital data processing, etc., can solve the problems of covering up the root cause of faults, unfavorable network management personnel to troubleshoot faults, increasing network management system overhead, etc., to achieve processing speed improvement, The effect of speeding up data processing

Inactive Publication Date: 2017-04-26
SHANDONG INSPUR COMML SYST CO LTD
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Problems solved by technology

Therefore, even a single fault may cause a huge number of alarms. Numerous alarms not only increase the overhead of the network manage

Method used

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Embodiment Construction

[0053] The present invention will be further described below in conjunction with specific examples.

[0054] An analysis method of alarm monitoring strategy based on data mining technology. Data mining can extract valuable knowledge from a large amount of fuzzy data containing noise. The alarm data of the communication network is massive, dynamic and rich in knowledge. The alarm data of the communication network Data mining does not depend on the network structure and can adapt to the dynamic changes of the network; data mining includes the following steps:

[0055] 1), alarm data acquisition and preprocessing;

[0056] 2) Convert the acquired alarm data into a collection of transaction items, and use related algorithms to mine frequent itemsets data;

[0057] 3) Combining with practical applications, compress, merge and classify the results of frequent itemsets;

[0058] 4) Use frequent itemsets to derive association rules, review association rules, further improve the mini...

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Abstract

The invention discloses an alarm monitoring strategy analysis method based on a data mining technology and belongs to the field of communication alarm monitoring. Through data mining, valuable knowledge can be extracted from enormous fuzzy data comprising noise, alarm data of a communication network is enormous and dynamic and is rich in knowledge, the alarm data of the communication network is mined without reliance on a network structure, and dynamic change of the network can be adapted. Data mining comprises the following steps: obtaining and preprocessing the alarm data; converting the obtained alarm data into a set of transaction items, and carrying out frequent item set data mining by use of a correlation algorithm; and through combination with actual application, performing compression, merging and classification processing on a result of a frequent item set. According to the invention, through merging and converting alarms, the multiple alarms are merged into one alarm with a larger information amount so as to replace the multiple alarms, and assistance is provided for network management personnel in analyzing fault information and rapidly positioning faults.

Description

technical field [0001] The invention relates to the field of communication alarm monitoring, in particular to an analysis method of an alarm monitoring strategy based on data mining technology. Background technique [0002] With the rapid development of information technology, the telecommunication network is no longer just a communication medium, but a distributed information processing platform that provides comprehensive services for people. Facing the telecommunications network with huge scale, complex structure, and coexistence of multiple technologies, in order to ensure its efficient, economical, reliable, and safe operation, maximize the use of network resources, reduce operating costs, and provide users with high-quality, high-reliability services, domestic and foreign telecom operators have successively established various network management systems. With the gradual deepening of network management system construction and the increasingly important role played by ...

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Application Information

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IPC IPC(8): H04L12/24G06F17/30
CPCH04L41/0631G06F16/2465G06F2216/03H04L41/0677
Inventor 王迪于洁
Owner SHANDONG INSPUR COMML SYST CO LTD
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