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Explainable concept drift in process mining
The execution of processes leaves trails of event data in information systems. These event
data are analyzed to generate insights and improvements for the underlying process …
data are analyzed to generate insights and improvements for the underlying process …
OC-PM: analyzing object-centric event logs and process models
Object-centric process mining is a novel branch of process mining that aims to analyze event
data from mainstream information systems (such as SAP) more naturally, without being …
data from mainstream information systems (such as SAP) more naturally, without being …
Advancements and challenges in object-centric process mining: A systematic literature review
Recent years have seen the emergence of object-centric process mining techniques. Born
as a response to the limitations of traditional process mining in analyzing event data from …
as a response to the limitations of traditional process mining in analyzing event data from …
Defining cases and variants for object-centric event data
The execution of processes leaves traces of event data in information systems. These event
data can be analyzed through process mining techniques. For traditional process mining …
data can be analyzed through process mining techniques. For traditional process mining …
A framework for extracting and encoding features from object-centric event data
Traditional process mining techniques take event data as input where each event is
associated with exactly one object. An object represents the instantiation of a process …
associated with exactly one object. An object represents the instantiation of a process …
Transforming event knowledge graph to object-centric event logs: A comparative study for multi-dimensional process analysis
Process mining has significantly transformed business process management by introducing
innovative data-based analysis techniques and empowering organizations to unveil hidden …
innovative data-based analysis techniques and empowering organizations to unveil hidden …
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 …
Analyzing interconnected processes: using object-centric process mining to analyze procurement processes
The purchase-to-pay (P2P) process is one of the core business processes in any
organization. It ensures the correct and efficient provisioning of materials and services. An …
organization. It ensures the correct and efficient provisioning of materials and services. An …
[HTML][HTML] ocpa: A python library for object-centric process analysis
Abstract ocpa is a Python library supporting object-centric process mining. Traditional
process mining generates insights for one single process. However, many real-life …
process mining generates insights for one single process. However, many real-life …
Graph-based feature extraction on object-centric event logs
Process mining techniques have proven crucial in identifying performance and compliance
issues. Traditional process mining, however, is primarily case-centric and does not fully …
issues. Traditional process mining, however, is primarily case-centric and does not fully …