Quantifying chatbots' ability to learn business processes

C Kecht, A Egger, W Kratsch, M Röglinger - Information Systems, 2023 - Elsevier
Chatbots enable organizations in the business-to-customer domain to respond to repetitive
requests efficiently. Extant approaches in Natural Language Processing (NLP) already …

[HTML][HTML] An approach for analyzing business process execution complexity based on textual data and event log

A Revina, Ü Aksu - Information Systems, 2023 - Elsevier
With the advent of digital transformation, organizations increasingly rely on various
information systems to support their business processes (BPs). Recorded data, including …

Evaluating the ability of llms to solve semantics-aware process mining tasks

A Rebmann, FD Schmidt, G Glavaš… - 2024 6th International …, 2024 - ieeexplore.ieee.org
The process mining community has recently recognized the potential of large language
models (LLMs) for tackling various process mining tasks. Initial studies report the capability …

Shedding light on blind spots–developing a reference architecture to leverage video data for process mining

W Kratsch, F König, M Röglinger - Decision support systems, 2022 - Elsevier
Process mining is one of the most active research streams in business process
management. In recent years, numerous methods have been proposed for analyzing …

Predictive process monitoring: concepts, challenges, and future research directions

P Ceravolo, M Comuzzi, J De Weerdt… - Process Science, 2024 - Springer
Abstract Predictive Process Monitoring (PPM) extends classical process mining techniques
by providing predictive models that can be applied at runtime during the execution of a …

Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies?

D Cook, M Zilka, H DeSandre, S Giles… - Proceedings of the 2023 …, 2023 - dl.acm.org
The growing popularity of social media raises concerns about children's online safety. Of
particular concern are interactions between minors and adults with predatory intentions …

Semi-Automated approach for building event logs for process mining from relational database

JD Hernandez-Resendiz, E Tello-Leal… - Applied Sciences, 2022 - mdpi.com
Process mining is a novel alternative that uses event logs to discover, monitor, and improve
real business processes through knowledge extraction. Event logs are a prerequisite for any …

Text2EL: exploiting unstructured text for event log enrichment

DTK Geeganage, MT Wynn… - … Conference on Signal …, 2022 - ieeexplore.ieee.org
Process mining provides a range of methods and techniques to analyse business processes
through information stored in so-called event logs. The richer these event logs and the …

Text2EL+: Expert Guided Event Log Enrichment Using Unstructured Text

DT Kapugama Geeganage, MT Wynn… - ACM Journal of Data …, 2024 - dl.acm.org
Through the application of process mining, business processes can be improved on the
basis of process execution data captured in event logs. Naturally, the quality of this data …

A transfer learning framework for annotating implementation-specific corpus

A Ponniah, S Agarwal, SM Ranka… - 2022 IEEE 9th …, 2022 - ieeexplore.ieee.org
The fields of business process analysis and process mining (PM) analyze business
operations to identify, validate, improve, and automate business processes. Most information …