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A multi-objective medical process mining model using event log and causal matrix
16 references·0 citing·38 second hop
A multi-objective medical process mining model using event log and causal matrix (2023)A multi-objective medical process mining …Process mining technology selection with spherical fuzzy AHP and sensitivity analysis (2021)Process mining technology sel…Process mining techniques and applications – A systematic mapping study (2019)Process mining techniques and…Systematic Mapping of Process Mining Studies in Healthcare (2018)Systematic Mapping of Process…Process Mining: Data Science in Action (2016)Process Mining: Data Science …Process mining in healthcare: A literature review (2016)Process mining in healthcare:…Integrated production–distribution planning in two-echelon systems: a resilience view (2016)Integrated production–distrib…Process Mining for Clinical Processes (2015)Process Mining for Clinical P…Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity (2014)Quality Dimensions in Process…Process mining (2012)Process miningA genetic algorithm for discovering process trees (2012)A genetic algorithm for disco…Business process analysis in healthcare environments: A methodology based on process mining (2011)Business process analysis in …Mining process models with non-free-choice constructs (2007)Mining process models with no…Genetic process mining: an experimental evaluation (2007)Genetic process mining: an ex…Workflow mining: discovering process models from event logs (2004)Workflow mining: discovering …Process mining: a research agenda (2003)Process mining: a research ag…Automating process discovery through event-data analysis (1995)Automating process discovery …Discovering models of software processes from event-based data (1998)Mining process models from workflow logs (1998)Workflow mining: A survey of issues and approaches (2003)A survey on the recent research literature on ERP systems (2005)Dilemmas in a general theory of planning (1973)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Seven Paradoxes of Business Process Management in a Hyper-Connected World (2020)A Five-Level Framework for Research on Process Mining (2021)PM4Py: A process mining library for Python (2023)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)The ProM Framework: A New Era in Process Mining Tool Support (2005)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Process innovation: reengineering work through information technology (1993)Workflow Patterns (2003)PM$$^2$$: A Process Mining Project Methodology (2015)Time-driven activity-based costing in health care: A systematic review of the literature (2017)YAWL: yet another workflow language (2004)Context Aware Trace Clustering: Towards Improving Process Mining Results (2009)On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery (2012)Scalable process discovery and conformance checking (2016)Conformance checking of processes based on monitoring real behavior (2007)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Process mining for healthcare: Characteristics and challenges (2022)Visually specifying compliance rules and explaining their violations for business processes (2010)Big data: The next frontier for innovation, competition, and productivity (2011)Process Mining (2011)The World’s Technological Capacity to Store, Communicate, and Compute Information (2011)Queue mining for delay prediction in multi-class service processes (2015)Trustworthy journalism through AI (2023)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)Process Mining (2012)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)
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References

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  • 2016Process Mining: Data Science in Action866 cited
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  • 2021Process mining technology selection with spherical fuzzy AHP and sensitivity analysis116 cited

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  • 2018Systematic Mapping of Process Mining Studies in Healthcare113 cited
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