Association Rule Clustering System 关联规则聚类系统
Clustering Rule 丛集规则
fuzzy-clustering rule function 模糊聚类准则函数
Put forth and implemented the improved association rule clustering algorithm, analyzed the veracity of the algorithm and the generation of rule quantity of the algorithm, as well as the efficiency of it.
提出并实现了在电子商务交易模型中的改进型的关联规则聚类挖掘算法,并对算法的准确性和产生规则数目以及算法的效率进行了分析。
参考来源 - 基于Agent的分布式中国旅游目的地营销系统的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The rule distance function is the key feature of rule clustering.
规则距离函数是规则聚类中的重要一环。
Rule clustering re-organizes rules which are generated during the procedure of association rule mining, to help customers find out interested rules.
规则聚类将关联规则挖掘产生的大量规则重新组织，帮助用户发现感兴趣的规则。
Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。
应用推荐