8 citations · 10 across the 8 of their papers we have counts for
8 papers
The PM-EdgeMap: Towards Real-Time Process Mining on the Edge-Cloud Continuum
Hendrik Reiter, Christian Imenkamp, Olaf Landsiedel +3
Smart factories are evolving into Cyber-Physical Systems (CPS), demanding increased autonomy. This necessitates real-time decision making, facilitated by insights derived from sens…
Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams
Andrea Maldonado, Christian Imenkamp, Hendrik Reiter +4
The shift toward IoT-enabled, sensor-driven systems has transformed how operational data is generated, favoring continuous, real-time event streams (ES) over static event logs. Thi…
Determining Window Sizes using Species Estimation for Accurate Process Mining over Streams
Christian Imenkamp, Martin Kabierski, Hendrik Reiter +3
Streaming process mining deals with the real-time analysis of event streams. A common approach for it is to adopt windowing mechanisms that select event data from a stream for subs…
AVOCADO: The Streaming Process Mining Challenge
Christian Imenkamp, Andrea Maldonado, Hendrik Reiter +4
Streaming process mining deals with the real-time analysis of streaming data. Event streams require algorithms capable of processing data incrementally. To systematically address t…
Process Mining on Distributed Data Sources
Maximilian Weisenseel, Julia Andersen, Samira Akili +10
Major domains such as logistics, healthcare, and smart cities increasingly rely on sensor technologies and distributed infrastructures to monitor complex processes in real time. Th…
An object-centric core metamodel for IoT-enhanced event logs
Yannis Bertrand, Christian Imenkamp, Lukas Malburg +10
Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across various sectors, such as m…
EdgeMiner: Distributed Process Mining at the Data Sources
Julia Andersen, Patrick Rathje, Christian Imenkamp +2
Process mining is moving beyond mining traditional event logs and nowadays includes, for example, data sourced from sensors in the Internet of Things (IoT). The volume and velocity…
Process Mining for Unstructured Data: Challenges and Research Directions
Agnes Koschmider, Milda Aleknonytė-Resch, Frederik Fonger +8
The application of process mining for unstructured data might significantly elevate novel insights into disciplines where unstructured data is a common data format. To efficiently…