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改进的FP-Growth算法在个性化推荐中的应用研究 被引量:1
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作者 刘玥波 徐田翔 徐国庆 《软件》 2021年第8期45-47,共3页
文章研究了聚类算法K-means和关联规则算法FP-Growth,针对两种算法存在的不足,提出了对原始事务数据库采用K-means凝聚层次算法按购物用户的属性特征进行聚类,并针对聚类压缩后事务数据库,利用矩阵存储数据并按支持度计数排序,并将其应... 文章研究了聚类算法K-means和关联规则算法FP-Growth,针对两种算法存在的不足,提出了对原始事务数据库采用K-means凝聚层次算法按购物用户的属性特征进行聚类,并针对聚类压缩后事务数据库,利用矩阵存储数据并按支持度计数排序,并将其应用于在线购物系统的个性化推荐中。算法的提出压缩了事务数据库,降低了生成频繁1项集的时间,减少了FP-Growth算法扫描数据库的次数,提高了算法的执行效率。 展开更多
关键词 K-MEANS算法 凝聚层次聚类 FP-GROWTH算法
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IAGNES algorithm for protocol recognition
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作者 Deng Lijun Tan Tiantian +1 位作者 Han Jingwen Tian Tian 《High Technology Letters》 EI CAS 2018年第4期408-416,共9页
In the process of protected protocol recognition,an improved AGglomerative NESting algorithm( IAGNES) with high adaptability is proposed,which is based on the AGglomerative NESting algorithm( AGNES),for the challengin... In the process of protected protocol recognition,an improved AGglomerative NESting algorithm( IAGNES) with high adaptability is proposed,which is based on the AGglomerative NESting algorithm( AGNES),for the challenging issue of how to obtain single protocol data frames from multiprotocol data frames. It can improve accuracy and efficiency by similarity between bit-stream data frames and clusters,extract clusters in the process of clustering. Every cluster obtained contains similarity evaluation index which is helpful to evaluation. More importantly,IAGNES algorithm can automatically recognize the number of cluster. Experiments on the data set published by Lincoln Laboratory shows that the algorithm can cluster the protocol data frames with high accuracy. 展开更多
关键词 IMPROVED agglomerative nesting algorithm(IAGNES) PROTOCOL RECOGNITION bit-stream
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