.png){kind=icon}
返回
Mining variable fragments from process event logs
.png){kind=icon}
PRE
AI
DOI：10.1007/s10796-016-9662-x.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Many peer-organizations are now using process-aware information systems for managing their organizational processes. Most of these peer-organizations have shared processes, which include many commonalities and some degrees of variability. Analyzing and mining the commonalities of these processes can have many benefits from the reusability point of view. In this paper, we propose an approach for extracting common process fragments from a collection of event logs. To this end, we first analyze the process fragment literature from a theoretical point of view, based on which we present a new process fragment definition, called morphological fragments to support composability and flexibility. Then we propose a novel algorithm for extracting such morphological fragments directly from process event logs. This algorithm is capable of eliciting common fragments from a family of processes that may not have been executed within the same application/organization. We also propose supporting algorithms for detecting and categorizing morphological fragments for the purpose of reusability. Our empirical studies show that our approach is able to support reusability and flexibility in process fragment identification.
Keyword:
Process fragments
Morphological fragments
Event logs
Cross organizational mining
Reusable fragments
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
IF:
8.3
论文数:
2.0K
被引数:
6.5K
机构
引用论文
Mobile Agents: A Distributed Voice-Commanded Sensory and Robotic System for Surface EVA Assistance
OAAI
.png){kind=icon}
OAAI分享收藏
查看更多内容