CN102111296A - Mining method for communication alarm association rule based on maximal frequent item set - Google Patents
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Abstract
The invention provides a method for building an alarm association rule mining system based on a maximal frequent item set DM (Data Mining) and the realization of that. Three different mining ways for single equipment, cognate equipment and linked equipment are designed aiming to different types of equipment in a communication network, and according to the mining range, the DM range can be positioned at specific city level or communication equipment manufacturer level; after the mining way is confirmed, the alarm association time window, the sliding step, etc are selected to acquire an alarm affair set assembly; and alarm association result mining is performed by utilizing the maximal frequent item set mining algorism after a user inputs the minimum support, and mining result treatment and display are performed according to different mining ways. Through the mentioned steps, the alarm association rule needed by the user can be found out from plenty of alarm data. The method has broad application prospect and favorable utility value.
Description
Technical field
The present invention relates to a kind of communication alarm association rule digging method based on Maximum Frequent item collection, specifically a kind of.The invention belongs to communication network alarm monitoring field, particularly relate to communication warning association analysis aspect based on data mining technology.
Background technology
Store a large amount of history alarm information in the network alarm database, wherein contained the useful information of many reflection network operation states and fault rootstock, utilized these information can improve network failure management.Communication alarm association rule analysis based on data mining technology, can be by analyzing the alarm Transaction Information, excavation alarm association rule, disclose the significant knowledge and the alarm association that lie in the magnanimity original alarm data, more comprehensively and the explanation network failure and the performance issue of system, make the webmaster personnel can carry out fault location fast and further do the decision-making and predicting of being out of order.But the communication network network element device is of a great variety, and relation is complicated, and the alarm data amount is huge, and universal data mining algorithm can be excavated all frequent item sets in theory, and then obtains correlation rule wherein.But the requirement for hardware system is very high, need calculate and take a large amount of memory spaces for a long time.And the excavation result who obtains is for practical application, much be invalid result, even partial results is redundant, can't realize the efficient excavation of correlation rule, is unsuitable for the combing work and actual alarm monitoring and fault location of later stage alarm association rule.
Summary of the invention
In order to overcome the problem that prior art exists, the present invention has designed and Implemented a kind of communication alarm Maximum Frequent item set mining system.
The purpose of this invention is to provide a kind of communication alarm association rule digging method based on Maximum Frequent item collection.The objective of the invention is to realize in the following manner, the invention provides a kind of creationary, efficiently based on the communication warning association analysis system of Maximum Frequent item collection data mining.By actual communication networks being carried out alarm data analysis, network element device classification, topological structure arrangement, alarm monitoring system demand analysis etc., designed and Implemented the complete warning association analysis system of a cover, wherein excavated classification, the data mining of alarm Maximum Frequent item collection, data mining results is handled and show that four big subsystems form by alarm data preliminary treatment, network element device.
Method comprises following steps:
1) at first obtains original alarm data continuous in a period of time from the alarm monitoring platform, according to the real data excacation, by data cleansing, needed alarm data is obtained in data extract, and extraction determinant attribute wherein, set up alarm data table to be excavated;
2) excavate mode according to the difference of single network element, same category of device network element, interconnect equipment, by alarm association time window and sliding step are set, traversal alarm data table is set up the affairs type data acquisition system of needed data mining;
3) data mining support parameter and confidence level parameter are set, utilize the data mining algorithm of Maximum Frequent item collection, excavate the Maximum Frequent item collection in the alarm, obtain all Maximum Frequent items and assemble fruit;
4) frequent item set that obtains according to the different data mining mode of single network element, same category of device network element and InterWorking Equipment, take diverse ways to carry out result treatment, obtain the alarm association rule, so that data mining has better targeted to different excavation modes;
5) the alarm association rule after data excavate are handled is checked by the correlation rule that the alarm monitoring platform has been set up, and accuracy rate and coverage rate that verification msg is excavated prove the validity and the practicality of data mining;
6) the alarm association rule that data mining is obtained in conjunction with existing be used for alarm monitoring and fault location specially
The system of family carries out the alarm association analysis of network management platform, serves the communication network monitoring field.
Excellent effect of the present invention:
(1) at different excavation modes, alarm data is carried out different uniqueness marks, make and can in data mining, pick out any alarm data accurately, improve the accuracy of data mining.
(2) at practical application, the data mining algorithm that exploitation makes new advances based on Maximum Frequent item collection, guaranteeing under the correct prerequisite of data mining results, the data processing quantity and the digging efficiency of data mining have been improved greatly, this method can be handled the alarm data of 1,000,000 orders of magnitude, and obtained reasonable excavation effect, make the alarm association regular data excavate and have better engineering application.
(3) in the excavation of InterWorking Equipment, according to actual electrical communication network topological relation, the data acquisition phase and the constraint in result treatment stage are carried out in the topological network unit combination under the different topology relation, improved the digging efficiency of InterWorking Equipment.
(4) in result treatment,, take the multiple results treatment mechanism in conjunction with actual needs, the excavation result that maximum packed data excavates, and, provide suitable exhibition method as a result in conjunction with actual alarm association rule, greatly facilitate alarm association rule checking work.
Description of drawings
Accompanying drawing 1 is the structural representation based on the communication alarm association rule digging method of Maximum Frequent item collection;
Embodiment
With reference to Figure of description the communication alarm association rule digging method based on Maximum Frequent item collection of the present invention is done following detailed explanation.
Communication alarm association rule digging method based on Maximum Frequent item collection of the present invention, its step is as follows:
1) at first obtains original alarm data continuous in a period of time from the alarm monitoring platform, according to the real data excacation, by data cleansing, needed alarm data is obtained in data extract etc., and extraction determinant attribute wherein, set up alarm data table to be excavated.
2) according to different excavation modes such as single network element, same category of device network element, interconnect equipments, by alarm association time window and sliding step are set, traversal alarm data table is set up the affairs type data acquisition system of needed data mining.
3) data mining support parameter and confidence level parameter are set, utilize data mining algorithm, excavate the Maximum Frequent item collection in the alarm, obtain all Maximum Frequent items and assemble fruit based on Maximum Frequent item collection.
4) the frequent item set result that obtains of different data mining mode is also different, therefore need take diverse ways to carry out result treatment, obtains the alarm association rule, can make data mining that different excavation modes is had better targeted.
5) the alarm association rule after data excavate are handled is checked by the correlation rule that the alarm monitoring platform has been set up, and accuracy rate and coverage rate that verification msg is excavated prove the validity and the practicality of data mining.
6) the alarm association rule that data mining is obtained in conjunction with existing be used for alarm monitoring and fault location specially
The system of family carries out the alarm association analysis of network management platform, serves the communication network monitoring field.
The present invention is based on the warning association analysis system of Maximum Frequent item collection data mining, this system can excavate Maximum Frequent item collection in the mass alarm, not only can comprise all frequent item subclass, can also save a large amount of time and memory space, and in the process of system implementation, carry out classified excavation according to communication device types, carry out multiple processing to excavating the result at last, provide the alarm association rule with the succinct form of complete sum, really having realized the association rule mining of communication alarm mass data.
Under magnanimity telecommunications alarm data, has good application, can be according to different data mining demands, carrying out the alarm association regular data according to different excavation modes excavates, excavate user's interest Maximum Frequent item collection and get rid of frequent useless subclass, when having improved digging efficiency, compress the excavation result significantly, really realized the accuracy and the application efficiency of the alarm association rule digging under the mass alarm data.Excavation result of the present invention can directly apply to alarm monitoring and fault location aspect, so the present invention is with a wide range of applications and good practical value.
Embodiment
Based on data mining alarm association analytical system of the present invention, can adopt Host Based software to realize.Method and points for attention during specific implementation are as follows:
1. the set of affairs type alarm data is obtained
(1), alarm data is cleaned, extracts, sets up suitable alarm uniquely tagged according to different excavation modes.
(2) alarm association time window and the sliding step that is provided with according to the user, the ergodic data storehouse, obtain the alarm association affairs type data acquisition system that needs, wherein excavate InterWorking Equipment and need introduce corresponding network topology relation constraint, obtain the alarm association affairs type data acquisition system after the constraint.
2. Algorithms of Maximal Frequent Itemset Mining realizes
(1) utilizes the interface based on the data mining algorithm of Maximum Frequent item collection of exploitation, import user-defined minimum support into, carry out data mining.
(2) in mining process, when excavation is carried out, show the result excavated, carry out mining process monitoring and parameter input, with some relevant information records of data mining in journal file.
(3) interface of reservation and data mining results processing section is handled so that carry out corresponding results.
3. excavate result treatment and demonstration
(1) according to different excavation modes, adopt diverse ways to carry out result treatment, comprising subclass result's removal, the merging of identical result etc., farthest the result is excavated in compression, improves the practicality of excavating the result.
(2),, adopt the alarm association rule that suitable form shows and record is excavated, so that next step is applied to alarm monitoring and fault location in conjunction with practical application according to user's request.
Except that the described technical characterictic of specification, be the known technology of those skilled in the art.
Claims (1)
1. based on the communication alarm association rule digging method of Maximum Frequent item collection, it is characterized in that, comprise following steps:
(1) at first obtains original alarm data continuous in a period of time from the alarm monitoring platform, according to the real data excacation, by data cleansing, needed alarm data is obtained in data extract, and extraction determinant attribute wherein, set up alarm data table to be excavated;
(2) excavate mode according to the difference of single network element, same category of device network element, interconnect equipment, by alarm association time window and sliding step are set, traversal alarm data table is set up the affairs type data acquisition system of needed data mining;
(3) data mining support parameter and confidence level parameter are set, utilize the data mining algorithm of Maximum Frequent item collection, excavate the Maximum Frequent item collection in the alarm, obtain all Maximum Frequent items and assemble fruit;
(4) frequent item set that obtains according to the different data mining mode of single network element, same category of device network element and InterWorking Equipment, take diverse ways to carry out result treatment, obtain the alarm association rule, so that data mining has better targeted to different excavation modes;
(5) the alarm association rule after data excavate are handled is checked by the correlation rule that the alarm monitoring platform has been set up, and accuracy rate and coverage rate that verification msg is excavated prove the validity and the practicality of data mining;
(6) the alarm association rule that data mining is obtained is carried out the alarm association analysis of network management platform in conjunction with the existing expert system that is used for alarm monitoring and fault location, serves the communication network monitoring field.
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102625350A (en) * | 2012-03-09 | 2012-08-01 | 浪潮通信信息系统有限公司 | Mobile communication network management automatic dispatch based on alarm correlation |
| CN102904738A (en) * | 2011-07-26 | 2013-01-30 | 华为软件技术有限公司 | Work order processing method, relevant device and relevant system |
| CN103927398A (en) * | 2014-05-07 | 2014-07-16 | 中国人民解放军信息工程大学 | Microblog hype group discovering method based on maximum frequent item set mining |
| CN104038375A (en) * | 2014-06-30 | 2014-09-10 | 成都广达电子股份有限公司 | Alarm processing analysis system and method of broadcasting and TV access network |
| CN105528280A (en) * | 2015-11-30 | 2016-04-27 | 中电科华云信息技术有限公司 | Method and system capable of determining log alarm grades according to relationship between system logs and health monitoring |
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| CN106789347A (en) * | 2017-01-22 | 2017-05-31 | 山东浪潮商用系统有限公司 | A kind of method that alarm association and network fault diagnosis are realized based on alarm data |
| CN106878038A (en) * | 2015-12-10 | 2017-06-20 | 华为技术有限公司 | Fault Locating Method and device in a kind of communication network |
| CN106874491A (en) * | 2017-02-22 | 2017-06-20 | 北京科技大学 | A kind of device fault information method for digging based on dynamic association rules |
| CN107133370A (en) * | 2017-06-19 | 2017-09-05 | 南京邮电大学 | A kind of label recommendation method based on correlation rule |
| CN107835087A (en) * | 2017-09-14 | 2018-03-23 | 北京科东电力控制系统有限责任公司 | A kind of safety means alarm regulation extraction method based on Frequent Pattern Mining |
| CN108415789A (en) * | 2018-01-24 | 2018-08-17 | 西安交通大学 | Node failure forecasting system and method towards extensive mixing heterogeneous storage system |
| CN109189736A (en) * | 2018-08-01 | 2019-01-11 | 中国联合网络通信集团有限公司 | A kind of generation method and device of alarm association rule |
| CN109412867A (en) * | 2018-12-06 | 2019-03-01 | 国家电网有限公司信息通信分公司 | A kind of alarm association merging method, device, system, equipment and storage medium |
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| CN109617745A (en) * | 2019-01-11 | 2019-04-12 | 云智慧（北京）科技有限公司 | Alarm prediction method, device, system and storage medium |
| CN110135603A (en) * | 2019-05-21 | 2019-08-16 | 国网河南省电力公司信息通信公司 | It is a kind of to alert space characteristics analysis method based on the electric power networks for improving entropy assessment |
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Application publication date: 20110629 |