.png){kind=icon}
返回
Optimization method based on big data in business process management
.png){kind=icon}
PRE
AI
DOI：10.1007/s10586-017-1243-3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents the current research status of business process management (BPM) based on data drive, and then explains how to apply big data technology to analyze the BPM Data and build BPM knowledgebase in order to guide, optimize and forecast the business process. According the characteristics of the BPM data, the paper proposes a new method based on big data-driven according by key words and process flow (KW + PF), and shows the processing steps. In the furthermore, an automatic process flow with a certain intelligence is designed which is based on a loosely coupled configurable flow engine, meanwhile is guided by the knowledgebase. At last, this paper researches and analyzes how to apply the automatic intelligent process flow attach to the current BPM system and to minimize the disturbance. Moreover, developing trend and research challenge of BPM-driven by big data are illustrated.
Keyword:
Data-driven
Big data
BPM
Euclidean distance
Automatic process flow
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
4.1
论文数:
5.1K
被引数:
7.5K
机构
引用论文
.png){kind=icon}
Abstract, link, publish, exploit: An end to end framework for workflow sharing抽象，链接，发布，利用: 工作流共享的端到端框架
OAAI
OAAI分享收藏A characterization of workflow management systems for extreme-scale applications用于极端规模应用程序的工作流管理系统的特征OAAI
OAAI分享收藏
查看更多内容