process mining
PulseAugur coverage of process mining — every cluster mentioning process mining across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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LLMs finetuned to automate event log generation from text
Researchers have developed a new framework that uses finetuned Large Language Models (LLMs) to automatically generate structured event logs from unstructured text. This method addresses the bottleneck of manual event lo…
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LLMs finetuned to automate process mining log generation from text
Researchers have developed a new framework using large-language models (LLMs) to automatically generate structured event logs from unstructured text. This method addresses the bottleneck of manually creating event logs,…
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New SPECpp Framework Automates Petri Net Discovery for Process Mining
Researchers have introduced SPECpp, a new framework designed for the discovery of Petri nets, which are used to model complex processes. Unlike traditional top-down methods that rely on predefined structures, SPECpp emp…
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New framework groups process mining models to reduce repetition
A new framework has been proposed to address the challenges of model explosion and repetition in process mining. This framework aims to group Local Process Models (LPMs) and select representative models from each group …
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Reinforcement learning methods compared for optimizing business processes
A new research paper explores learning optimal policies for prescriptive process monitoring using reinforcement learning. The study compares a model-based approach using Markov Decision Processes (MDPs) with a model-fre…