首页> 外文会议>2010 International Conference on Computational Intelligence and Software Engineering >A Recommendation Method of BPEL Activity Based on Association Rules Mining
【24h】

A Recommendation Method of BPEL Activity Based on Association Rules Mining

机译:基于关联规则挖掘的BPEL活动推荐方法

获取原文

摘要

As the de facto standard, Business Process Execution Language (BPEL) is widely used in the composition and orchestration of web services; however, it is tiring and error-prone if we just rely on the developers to create every activity icon and assign it an atomic service. On the basis of the author's early work, this paper creatively applies association rules mining to the analysis of BPEL process, and put forwards a recommendation method of BPEL activity based on Labeled Activity Tree (LAT) and sub-activity sequence (subASeq). Finally, the experiment result of the BPEL processes in a multimedia conference system indicates this method's validity.
机译:作为事实上的标准,业务流程执行语言(BPEL)被广泛用于Web服务的组成和编排中。但是,如果我们仅依靠开发人员来创建每个活动图标并为其分配原子服务,那将很累并且容易出错。在作者的早期工作的基础上,本文创造性地将关联规则挖掘应用于BPEL流程分析,并提出了基于标记活动树(LAT)和子活动序列(subASeq)的BPEL活动推荐方法。最后,在多媒体会议系统中进行BPEL处理的实验结果表明了该方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号