CAJ | 학술논문

为了挖掘可疑通信的行为模式,定位发生了可疑通信行为的上网账户,本文首先分析了可疑通信行为特点。然后针对已有关联规则挖掘算法不能同时满足多层次数据挖掘和加权关联规则挖掘的问题,分析对比两种典型的基本关联规则算法,以FP-tree为基础,提出了ML-WFP多层次加权关联规则挖掘算法。针对算法中数据项权重的确定问题,由用户设置数据项间的重要性比较关系,借鉴模糊一致矩阵的概念,利用模糊层次分析法计算数据项的权重。最后将该算法应用于可疑通信行为的挖掘。实验测试结果表明可疑通信行为挖掘方案合理有效。
위료알굴가의통신적행위모식,정위발생료가의통신행위적상망장호,본문수선분석료가의통신행위특점。연후침대이유관련규칙알굴산법불능동시만족다층차수거알굴화가권관련규칙알굴적문제,분석대비량충전형적기본관련규칙산법,이FP-tree위기출,제출료ML-WFP다층차가권관련규칙알굴산법。침대산법중수거항권중적학정문제,유용호설치수거항간적중요성비교관계,차감모호일치구진적개념,이용모호층차분석법계산수거항적권중。최후장해산법응용우가의통신행위적알굴。실험측시결과표명가의통신행위알굴방안합리유효。
To mine suspicious behavior patterns and locate suspicious user accounts,suspicious communication characteristics were studied.Due to the drawbacks of existing algorithms of mining association rules,which can＇t meet both the weighted data mining and multi-level association rule mining requirements,ML-WFP algorithm,a multi-level weighted association rules algorithm is proposed.As for the weights of data items in the algorithm,an approach to set the relative importance,between data items and uses fuzzy AHP to calculate the weight of items based on the concept of fuzzy consistent matrix,also is proposed.The correctness and rationality of the scheme is verified from experimental results.