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Leveraging large language models (llms) for process mining (technical report)
A Berti, MS Qafari - arxiv preprint arxiv:2307.12701, 2023 - arxiv.org
This technical report describes the intersection of process mining and large language
models (LLMs), specifically focusing on the abstraction of traditional and object-centric …
models (LLMs), specifically focusing on the abstraction of traditional and object-centric …
Getting the Data in Shape for Your Process Mining Analysis: An In-Depth Analysis of the Pre-Analysis Stage
Process mining enables organizations to analyze the data stored in their information
systems and derive insights regarding their business processes. However, raw data needs …
systems and derive insights regarding their business processes. However, raw data needs …
CoCoMoT: conformance checking of multi-perspective processes via SMT
Conformance checking is a key process mining task for comparing the expected behavior
captured in a process model and the actual behavior recorded in a log. While this problem …
captured in a process model and the actual behavior recorded in a log. While this problem …
[HTML][HTML] Describing behavior sequences of fattening pigs using process mining on video data and automated pig behavior recognition
This study aimed to demonstrate the application of process mining on video data of pigs,
facilitating the analysis of behavioral patterns. Video data were collected over a period of 5 …
facilitating the analysis of behavioral patterns. Video data were collected over a period of 5 …
Preserving complex object-centric graph structures to improve machine learning tasks in process mining
Interactions of multiple processes and different objects can be captured using object-centric
event data. Object-centric event data represent process executions as event graphs of …
event data. Object-centric event data represent process executions as event graphs of …
[HTML][HTML] Data-aware conformance checking with SMT
Conformance checking is a key process mining task to confront the normative behavior
imposed by a process model with the actual behavior recorded in a log. While this problem …
imposed by a process model with the actual behavior recorded in a log. While this problem …
Analytics pipeline for process mining on video data
Process mining has shown that it provides valuable insights in terms of uncovering
bottlenecks and inefficiencies in processes or identifying tasks for automation. However …
bottlenecks and inefficiencies in processes or identifying tasks for automation. However …
Educational process mining: A study using a public educational data set from a machine learning repository
G Feng, H Chen - Education and Information Technologies, 2024 - Springer
Data mining has been successfully and widely utilized in educational information systems,
and an important research field has been formed, which is educational data mining. Process …
and an important research field has been formed, which is educational data mining. Process …
Discovery of process variants based on trace context tree
H Fang, W Liu, W Wang, S Zhang - Connection Science, 2023 - Taylor & Francis
Process variants usually exhibit a high degree of internal heterogeneity, in the sense that the
executions of the process differ widely from each other due to contextual factors, human …
executions of the process differ widely from each other due to contextual factors, human …
[PDF][PDF] Trace Clustering for User Behavior Mining.
Business information systems support a large variety of business processes and tasks, yet
organizations rarely understand how users interact with these systems. User Behavior …
organizations rarely understand how users interact with these systems. User Behavior …