.png){kind=icon}
返回
Semantics-based event log aggregation for process mining and analytics
.png){kind=icon}
PRE
AI
DOI：10.1007/s10796-015-9563-4.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In highly complex and flexible environments, event logs tend to exhibit high levels of heterogeneity, and clustering-based methods are candidate techniques for simplifying the mined process models from the process observations. To compensate for the information loss occurring during clustering, semantic information from event logs may be extracted and organized in the form of knowledge structures such as process ontologies using methods of ontology learning. In this article, we propose an overall computational framework for event log pre-processing, and then focus on a specific component of the framework, namely event log aggregation. We develop a detailed system architecture for this component, along with an implemented and evaluated research prototype SemAgg. We use phrase-based semantic similarity between normalized event names to aggregate event logs in a hierarchical form. We discuss the practical implications of this work for learning lower level process ontology classes as well as performing further process mining and analytics.
Keyword:
Process mining
Process analytics
Event logs
Natural language processing
Process ontologies
Agglomerative hierarchical clustering
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
.png){kind=icon}
Automatic Enrichment of Semantic Relation Network and Its Application to Word Sense Disambiguation
PREAI
分享收藏Genetic Polymorphism of 11 Allozyme Loci in Populations of Wall Lizards (Podarcis sp.) from the Iberian Peninsula and North Africa来自伊比利亚半岛和北非的壁蜥蜴 (Podarcis sp。) 种群中11个同工酶基因座的遗传多态性
PREAI
分享收藏
查看更多内容