加权频繁项目集获取是加权关联规则发现问题的关键。本文在考虑项目权重的前提下,以FP树的形式组织交易数据,提出了基于加权项目的频繁项目集的快速挖掘算法WeightedFP。新算法的性能使用文本信息检索和海关业务审计数据进行了测试,实验表明,与已有的算法相比较,该算法在效率上有了较显著提高。 Weighted frequent itemsets acquisition is the key to the problem of weighting association rules. In this paper, considering the weight of the project under the premise of the FP tree to organize the transaction data in the form of weighted project-based frequent itemsets rapid mining algorithm WeightedFP. The performance of the new algorithm is tested using the text information retrieval and the customs audit data. Experiments show that compared with the existing algorithms, this algorithm has a more significant improvement in efficiency.