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Data Analytic Approaches for Mining Process Improvement—Machinery Utilization Use Case
16 references·1 citing·39 second hop
Data Analytic Approaches for Mining Process Improvement—Machinery Utilization Use Case (2020)Data Analytic Approaches for Mining Proce…Process mining techniques and applications – A systematic mapping study (2019)Process mining techniques and…Mining 4.0—the Impact of New Technology from a Work Place Perspective (2019)Mining 4.0—the Impact of New …Extraction, correlation, and abstraction of event data for process mining (2019)Extraction, correlation, and …Directly Follows-Based Process Mining: Exploration & a Case Study (2019)Directly Follows-Based Proces…Process Mining (2016)Process MiningHandbook on Business Process Management 2 (2014)Handbook on Business Process …Business Process Analytics (2014)Business Process AnalyticsImproving business process decision making based on past experience (2013)Improving business process de…Fundamentals of Business Process Management (2013)Fundamentals of Business Proc…Decomposing Petri nets for process mining: A generic approach (2013)Decomposing Petri nets for pr…Process Mining (2012)Process MiningDisco: discover your processes (2012)Disco: discover your processesSoundness of workflow nets: classification, decidability, and analysis (2010)Soundness of workflow nets: c…APROMORE: An advanced process model repository (2010)APROMORE: An advanced process…Process-Aware Information Systems: Lessons to Be Learned from Process Mining (2009)Process-Aware Information Sys…Process Mining Applied to the Test Process of Wafer Scanners in ASML (2009)Process Mining Applied to the…Process Mining of Mining Processes: Analyzing Longwall Coal Excavation Using Event Data (2024)Process Mining of Mining Proc…Process modeling (1992)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Workflow Patterns (2003)Managing large collections of business process models—Current techniques and challenges (2012)Business Process Model Merging (2013)Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science (2019)Workflow mining: discovering process models from event logs (2004)Big data: The next frontier for innovation, competition, and productivity (2011)Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining (2013)Single-Entry Single-Exit decomposed conformance checking (2014)Conformance checking based on multi-perspective declarative process models (2016)Business Process Management : Concepts, Languages, Architectures (2007)Business Process Variability Modeling (2017)Split miner: automated discovery of accurate and simple business process models from event logs (2018)Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data (2019)Discovering models of software processes from event-based data (1998)Workflow mining: A survey of issues and approaches (2003)Activity Mining by Global Trace Segmentation (2010)Aligning Real Process Executions and Prescriptive Process Models through Automated Planning (2017)Enabling value stream mapping for internal logistics using multidimensional process mining (2019)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Big Data: A Survey (2014)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Process Mining Manifesto (2012)Adoption, use and management of process mining in practice (2020)A Survey on Concept Drift in Process Mining (2021)Process mining in healthcare – An updated perspective on the state of the art (2022)Ironies of automation (1983)The Tacit Dimension (1997)Communities of Practice (1998)Best practices for digital transformation based on a systematic literature review (2023)Extracting Event Data from Databases to Unleash Process Mining (2015)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Outcome-Oriented Predictive Process Monitoring (2019)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches (2014)The Six Core Elements of Business Process Management (2014)A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)
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  • 2024Process Mining of Mining Processes: Analyzing Longwall Coal Excavation Using Event Data18 cited