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联机增量关联规则算法研究
引用本文:徐雄,王锁萍,曹磊.联机增量关联规则算法研究[J].计算机工程与应用,2004,40(33):201-202,206.
作者姓名:徐雄  王锁萍  曹磊
作者单位:南京邮电学院电子工程系,南京,210003
摘    要:在数据挖掘应用越来越普及的今天,传统数据挖掘系统的高代价和低效已经成为其更深应用的瓶颈,联机数据挖掘系统由于其自身的集成性正引领着数据挖掘研究新的方向。但联机增量数据挖掘系统中算法也需要作相应的改进才能够适应新的需求。文章是一篇关于在联机数据挖掘系统中进行关联规则分析的文献,实现了对联机数据挖掘系统中的并行和增量关联规则分析,并根据分析过程给出了实验结论。

关 键 词:数据挖掘  聚类分析  并行  增量  Apriori
文章编号:1002-8331-(2004)33-0201-02

Online Incremental Association Rule Research
Xu,Xiong Wang Suoping Cao Lei.Online Incremental Association Rule Research[J].Computer Engineering and Applications,2004,40(33):201-202,206.
Authors:Xu  Xiong Wang Suoping Cao Lei
Abstract:As the general application of data mining,high investment cost and low efficiency has constructed the bottleneck of the deep development of data mining,while the online data mining system has lead the new research direction of data mining as it integrates the data warehouse with data mining system together.however,traditional algorithms in data mining must be modified to adapt to new system.The present article focus on the parallelism and instrumentalism of association rule analysis in online data mining system,with the new algorithm,people can get data mode with low cost and delay,experiments and results are often given at the last.
Keywords:data mining  clustering analysis  parallel  incremental  Apriori  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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