Communication alarm frequent itemset mining engine and redundancy processing method

A technology of frequent itemset mining and redundant processing, which is applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of low algorithm efficiency, heavy processing workload, low efficiency, etc., to improve processing capacity, Mining results are concise and practical

Inactive Publication Date: 2011-08-03
INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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AI Technical Summary

Problems solved by technology

The frequent pattern growth algorithm will generate a large number of conditional pattern bases and conditional pattern trees, which makes the efficiency of the algorithm very

Method used

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  • Communication alarm frequent itemset mining engine and redundancy processing method
  • Communication alarm frequent itemset mining engine and redundancy processing method
  • Communication alarm frequent itemset mining engine and redundancy processing method

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Embodiment

[0037] The invention solves the problem of alarm association analysis which is difficult to realize in the current large-scale communication network, aiming at the requirements for monitoring and management of new-generation communication networks such as 3G, NGN, and mobile Internet. The data mining-based alarm frequent itemset acquisition technology and the redundant processing technology of mining results adopted in the present invention can efficiently process frequently occurring alarm sequences in massive alarms. Applying the invention to the mining of alarm data of a communication company, more than 5 million pieces of alarm data were obtained in three months. Contains typical equipment from Ericsson, Nokia and Huawei. The mining results are shown in the table below:

[0038] manufacturers

Number of alarms

number of frequent itemsets

Redundancy removal rate

Mining time (minutes)

Ericsson

1584010

190

99%

20

noki...

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Abstract

The invention provides a communication alarm frequent itemset mining engine and a redundancy processing method, particularly architecture and implementation of an engine for communication alarm frequent itemset mining and processing of redundancy thereof. The engine can be used for processing massive alarm information and is independent of the topological structure of the communication network. The invention can be used for efficiently mining out frequent itemsets in an alarm, and processing the redundancy of the mining result, thereby satisfying the demand of practical application. The engine is composed of an alarm data acquiring and preprocessing part, a parameter setting and alarm type converting part, a frequent mode growth improved algorithm part, a mining result redundancy processing part and a final result explaining and displaying part. The alarm frequent itemset mining and redundancy processing engine based on the invention can implement alarm association of the communication network without participation of experts and operational maintenance personnel, and can multiply the processing efficiency at lower operating cost; and thus, the alarm frequent itemset mining and redundancy processing engine is especially suitable for association rule analysis of the communication network, and has wide application prospects and high practical value.

Description

technical field [0001] The invention relates to the field of mobile Internet alarm monitoring, in particular to the field of acquiring alarm frequent item sets based on data mining technology, and in particular to a communication alarm frequent item set mining engine and a redundancy processing method. Background technique [0002] The amount of mobile communication alarms is huge, and when some of them occur, other specific alarms will always occur. These alarms that occur frequently in a period of time are called alarm frequent itemsets. Alarm frequent itemsets imply the main information of alarm association, which is an important basis for our analysis of alarm association. The frequent itemset mining algorithm in data mining can mine the frequent itemsets contained in a large number of alarms from the alarm database, and the frequent pattern growth algorithm can store the alarm information in a frequent pattern tree, by traversing the frequent The pattern tree generates...

Claims

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Application Information

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IPC IPC(8): H04L12/24G06F17/30
Inventor 李洋苗再良
Owner INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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