Quantifying chatbots' ability to learn business processes
Chatbots enable organizations in the business-to-customer domain to respond to repetitive
requests efficiently. Extant approaches in Natural Language Processing (NLP) already …
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
With the advent of digital transformation, organizations increasingly rely on various
information systems to support their business processes (BPs). Recorded data, including …
information systems to support their business processes (BPs). Recorded data, including …
Evaluating the ability of llms to solve semantics-aware process mining tasks
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 …
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 …
management. In recent years, numerous methods have been proposed for analyzing …
Predictive process monitoring: concepts, challenges, and future research directions
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 …
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?
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 …
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 …
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 …
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 …
basis of process execution data captured in event logs. Naturally, the quality of this data …
A transfer learning framework for annotating implementation-specific corpus
The fields of business process analysis and process mining (PM) analyze business
operations to identify, validate, improve, and automate business processes. Most information …
operations to identify, validate, improve, and automate business processes. Most information …