SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
NICE: The Native IoT-Centric Event Log Model for Process Mining
14 references·0 citing·45 second hopsampled
NICE: The Native IoT-Centric Event Log Model for Process Mining (2024)NICE: The Native IoT-Centric Event Log Mo…The biggest business process management problems to solve before we die (2023)The biggest business process …Enhancing Data-Awareness of Object-Centric Event Logs (2023)Enhancing Data-Awareness of O…DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs (2023)DataStream XES Extension: Emb…The Benefits of Sensor-Measurement Aggregation in Discovering IoT Process Models: A Smart-House Case Study (2022)The Benefits of Sensor-Measur…A Bridging Model for Process Mining and IoT (2022)A Bridging Model for Process …Process Model Discovery from Sensor Event Data (2021)Process Model Discovery from …OCEL: A Standard for Object-Centric Event Logs (2021)OCEL: A Standard for Object-C…Towards IoT-driven Process Event Log Generation for Conformance Checking in Smart Factories (2020)Towards IoT-driven Process Ev…The Internet of Things Meets Business Process Management: A Manifesto (2020)The Internet of Things Meets …Event abstraction in process mining: literature review and taxonomy (2020)Event abstraction in process …On the Contextualization of Event-Activity Mappings (2019)On the Contextualization of E…From event streams to process models and back: Challenges and opportunities (2017)From event streams to process…Applying Process Mining to Smart Spaces: Perspectives and Research Challenges (2015)Applying Process Mining to Sm…Design Science in Information Systems Research1 (2004)Design Science in Information…Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Enabling Self-adaptive Workflows for Cyber-physical Systems (2016)Mining Process Model Descriptions of Daily Life Through Event Abstraction (2017)Workflow Patterns (2003)Business Process Management : Concepts, Languages, Architectures (2007)Fundamentals of Business Process Management (2018)IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution (2020)Applying MAPE-K control loops for adaptive workflow management in smart factories (2023)Discovering Social Networks from Event Logs (2005)Trace Clustering in Process Mining (2009)Process Mining (2016)Shedding light on blind spots – Developing a reference architecture to leverage video data for process mining (2022)Process mining on sensor data: a review of related works (2025)BPMN: An introduction to the standard (2011)Process Mining: Data Science in Action (2016)Event Log Preprocessing for Process Mining: A Review (2021)Utilizing domain knowledge in data-driven process discovery: A literature review (2022)A model for types and levels of human interaction with automation (2000)Discrimination-aware data mining (2008)Modelling and executing IoT-enhanced business processes through BPMN and microservices (2021)Process Prediction with Digital Twins (2021)Conformance Checking (2018)An Interactive Method for Detection of Process Activity Executions from IoT Data (2023)Replaying history on process models for conformance checking and performance analysis (2012)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Process-aware digital twin cockpit synthesis from event logs (2022)On the Interplay Between Business Process Management and Internet-of-Things (2024)Information Systems Success: The Quest for the Dependent Variable (1992)The Structure of Scientific Revolutions (1996)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)The Anatomy of a Design Theory (2007)Bridging the Qualitative–Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems1 (2013)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Business Artifacts: A Data-centric Approach to Modeling Business Operations and Processes (2009)XES, XESame, and ProM 6 (2011)Precision and Fitness in Object-Centric Process Mining (2021)OC-PM: analyzing object-centric event logs and process models (2022)Explainable concept drift in process mining (2023)Science in Action: How to Follow Scientists and Engineers through Society (1988)What a difference a word makes: Understanding threats to performance in a VUCA world (2014)BPM challenges, limitations and future development directions – a systematic literature review (2024)Supply chain digitalization, green technology innovation and corporate energy efficiency (2024)Digital transformation and business model innovation: the relevance of strategic orientations under varying conditions of competitive intensity (2025)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2004Design Science in Information Systems Research110,671 cited
  • 2020The Internet of Things Meets Business Process Management: A Manifesto177 cited
  • 2020Event abstraction in process mining: literature review and taxonomy172 cited
  • 2023The biggest business process management problems to solve before we die164 cited
  • 2021OCEL: A Standard for Object-Centric Event Logs109 cited
  • 2017From event streams to process models and back: Challenges and opportunities77 cited
  • 2020Towards IoT-driven Process Event Log Generation for Conformance Checking in Smart Factories49 cited
  • 2021Process Model Discovery from Sensor Event Data48 cited
  • 2015Applying Process Mining to Smart Spaces: Perspectives and Research Challenges46 cited
  • 2019On the Contextualization of Event-Activity Mappings38 cited
  • 2023DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs33 cited
  • 2022A Bridging Model for Process Mining and IoT27 cited
  • 2023Enhancing Data-Awareness of Object-Centric Event Logs24 cited
  • 2022The Benefits of Sensor-Measurement Aggregation in Discovering IoT Process Models: A Smart-House Case Study17 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work