Realization of A Sequential Data Mining Device Based on Apriori Algorithm
GUO Yueting
LIU Lei
ZHANG Xing
Abstract：In view of the problems of the SMS Gateway pressure and the core alarm delay or omission caused by large-scale frequent network alarms,the improved Apriori algorithm is proposed for alarm merging to adapt to the actual operation scenarios and further the data mining device which is based on temporal correlation is realized.The device realizes the combination of alarm data through three steps:data capture,model training and data validation test. Contrary to the traditional Apriori algorithm,the im-proved algorithm removes the iteration process and proposes a new confidence level calculation method,according to the one-to-one characteristic of sequential alarm rules,solving the distortion problem of computing the confidence level caused by fre-quent alarms,as well as improving the credibility of association rules.Experimental results show that the device effectively merges the alarm information and reduce the pressure of SMS Gateway,which contributes to the root cause location of mass alarm failure in-formation.
Keywords：Apriorisequential associationdata miningconfidence levelalarm data merging
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 260-263,269 )