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Declarative Process Mining: Reducing Discovered Models Complexity by Pre-Processing Event Logs
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Declarative Process Mining: Reducing Discovered Models Complexity by Pre-Processing Event Logs (2014)Declarative Process Mining: Reducing Disc…Simplifying process model abstraction: Techniques for generating model names (2013)Simplifying process model abs…Investigating expressiveness and understandability of hierarchy in declarative business process models (2013)Investigating expressiveness …Enhancing Declare Maps Based on Event Correlations (2013)Enhancing Declare Maps Based …Declarative Modeling–An Academic Dream or the Future for BPM? (2013)Declarative Modeling–An Acade…Bridging Abstraction Layers in Process Mining by Automated Matching of Events and Activities (2013)Bridging Abstraction Layers i…Process Mining Manifesto (2012)Process Mining ManifestoDiscovering Hierarchical Process Models Using ProM (2012)Discovering Hierarchical Proc…User-guided discovery of declarative process models (2011)User-guided discovery of decl…Refactoring large process model repositories (2011)Refactoring large process mod…Mining Context-Dependent and Interactive Business Process Maps Using Execution Patterns (2011)Mining Context-Dependent and …Managing Process Model Complexity Via Abstract Syntax Modifications (2011)Managing Process Model Comple…Enterprise, Business-Process and Information Systems Modeling (2011)Enterprise, Business-Process …A Semantic Approach for Business Process Model Abstraction (2011)A Semantic Approach for Busin…Declarative workflows: Balancing between flexibility and support (2009)Declarative workflows: Balanc…Abstractions in Process Mining: A Taxonomy of Patterns (2009)Abstractions in Process Minin…Business Process Management Workshops (2008)Business Process Management W…Workflow mining: discovering process models from event logs (2004)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Analysis of Patient Treatment Procedures (2012)Slice, Mine and Dice: Complexity-Aware Automated Discovery of Business Process Models (2013)Mining Predictive Process Models out of Low-level Multidimensional Logs (2014)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Context Aware Trace Clustering: Towards Improving Process Mining Results (2009)Trace Alignment in Process Mining: Opportunities for Process Diagnostics (2010)Process diagnostics using trace alignment: Opportunities, issues, and challenges (2011)Extraction, correlation, and abstraction of event data for process mining (2019)An overview of workflow management: From process modeling to workflow automation infrastructure (1995)Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control (1998)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Enabling Flexibility in Process-Aware Information Systems (2012)Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches (2014)Business Process Variability Modeling (2017)Workflow Patterns (2003)Design Patterns (2006)Business Process Management : Concepts, Languages, Architectures (2007)Structuring Acyclic Process Models (2010)Managing large collections of business process models—Current techniques and challenges (2012)Business Process Management: The evolution of a discipline (2021)Conformance checking of processes based on monitoring real behavior (2007)Monitoring business constraints with the event calculus (2013)Declarative process mining in healthcare (2015)Syntactic Structures (1957)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Design Patterns: Elements of Reusable Object-Oriented Software (1994)Challenges of smart business process management: An introduction to the special issue (2017)Ten years of visualization of business process models: A systematic literature review (2019)Seven Paradoxes of Business Process Management in a Hyper-Connected World (2020)Key challenges for enabling agile BPM with social software (2011)Efficient Discovery of Understandable Declarative Process Models from Event Logs (2012)Imperative versus Declarative Process Modeling Languages: An Empirical Investigation (2012)Process Mining (2012)Business Process Management: A Comprehensive Survey (2013)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Understanding Declare models: strategies, pitfalls, empirical results (2014)Declarative Process Modeling in BPMN (2015)Toward an execution system for self-healing workflows in cyber-physical systems (2016)Modeling Control Objectives for Business Process Compliance (2007)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)
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References

  • 2012Process Mining Manifesto1,209 cited
  • 2008Business Process Management Workshops761 cited
  • 2009Declarative workflows: Balancing between flexibility and support531 cited
  • 2011Enterprise, Business-Process and Information Systems Modeling228 cited
  • 2011Refactoring large process model repositories220 cited
  • 2011User-guided discovery of declarative process models169 cited
  • 2009Abstractions in Process Mining: A Taxonomy of Patterns158 cited
  • 2011Managing Process Model Complexity Via Abstract Syntax Modifications116 cited
  • 2013Declarative Modeling–An Academic Dream or the Future for BPM?77 cited
  • 2012Discovering Hierarchical Process Models Using ProM66 cited
  • 2013Investigating expressiveness and understandability of hierarchy in declarative business process models60 cited
  • 2011A Semantic Approach for Business Process Model Abstraction58 cited
  • 2011Mining Context-Dependent and Interactive Business Process Maps Using Execution Patterns53 cited
  • 2013Enhancing Declare Maps Based on Event Correlations45 cited
  • 2013Bridging Abstraction Layers in Process Mining by Automated Matching of Events and Activities39 cited

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  • 2013Simplifying process model abstraction: Techniques for generating model names23 cited
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