Journal ArticleDOI
A systematic approach for discovering causal dependencies between observations and incidents in the health and safety domain
TLDR
The new approach and the delivered insights aim at improving the overall health and safety culture of the project partner practices, as they can be applied to caution and, thus, prevent future incidents.About:
This article is published in Safety Science.The article was published on 2019-10-01. It has received 12 citations till now. The article focuses on the topics: Process mining.read more
Citations
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Journal ArticleDOI
Natural Philosophy of Cause and Chance
TL;DR: Born comes down definitely on the side of the indeterminists as discussed by the authors, and his book is not, however, in the main concerned with philosophical ideas, rather it is an account of the historical development of parts of theoretical physics, explaining where strict determinism has been replaced by statistical concepts.
Replaying history on process models for conformance checking and performance analysis
TL;DR: The importance of maintaining a proper alignment between event log and process model is elaborated on and their application to conformance checking and performance analysis is elaborated.
Journal Article
Process querying: Enabling business intelligence through query-based process analytics
Artem Polyvyanyy,Chun Ouyang,Alistair Barros,Wil M. P. van der Aalst,Wil M. P. van der Aalst +4 more
TL;DR: A framework for devising process querying methods for the (automated) management of repositories of designed and executed processes, as well as models that describe relationships between processes is proposed.
Proceedings ArticleDOI
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs
TL;DR: This paper uses an action rule mining technique to identify treatments that co-occur with the outcome under some conditions and uses a causal machine learning technique to discover subgroups of cases for which a treatment has a high causal effect on the outcome after adjusting for confounding variables.
Journal ArticleDOI
Using Big Data to Improve Safety Performance: An Application of Process Mining to Enhance Data Visualisation
Anastasiia Pika,Arthur H. M. ter Hofstede,Robert K. Perrons,Robert K. Perrons,Georg Grossmann,Markus Stumptner,Jim Cooley +6 more
TL;DR: The analysis presented here highlights the underlying complexity of the organisation's Permit to Work process, reveals conformance and performance issues, and uncovers resources associated with conformance issues and changes in the frequency of such issues over time, thereby underlining the need to simplify the system.
References
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Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Journal ArticleDOI
Business intelligence and analytics: from big data to big impact
TL;DR: This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A, and introduces and characterized the six articles that comprise this special issue in terms of the proposed BI &A research framework.
Book
Process Mining: Data Science in Action
TL;DR: This is the second edition of Wil van der Aalsts seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches.
Journal ArticleDOI
A Survey of Text Similarity Approaches
Wael Hassan Gomaa,Aly A. Fahmy +1 more
TL;DR: This survey discusses the existing works on text similarity through partitioning them into three approaches; String-based, Corpus-based and Knowledge-based similarities, and samples of combination between these similarities are presented.
Journal ArticleDOI
Replaying history on process models for conformance checking and performance analysis
TL;DR: In this paper, the authors focus on the importance of maintaining a proper alignment between event logs and process models and elaborate on the realization of such alignments and their application to conformance checking and performance analysis.