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Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities
9 references·3 citing·43 second hop
Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities (2014)Using Discriminative Rule Mining to Disco…Heuristics Miner for Time Interval (2015)Heuristics Miner for Time Int…Enhancing Declare Maps Based on Event Correlations (2013)Enhancing Declare Maps Based …Techniques for a Posteriori Analysis of Declarative Processes (2012)Techniques for a Posteriori A…Process mining in the large:preprocessing, discovery, and diagnostics (2012)Process mining in the large:p…Efficient Discovery of Understandable Declarative Process Models from Event Logs (2012)Efficient Discovery of Unders…ProM : the process mining toolkit (2009)ProM : the process mining too…Exploiting Inductive Logic Programming Techniques for Declarative Process Mining (2009)Exploiting Inductive Logic Pr…Declarative workflows: Balancing between flexibility and support (2009)Declarative workflows: Balanc…DECLARE: Full Support for Loosely-Structured Processes (2007)DECLARE: Full Support for Loo…Collection and Elicitation of Business Process Compliance Patterns with Focus on Data Aspects (2019)Collection and Elicitation of…Process Mining Tools Comparison (2018)Process Mining Tools Comparis…On the relevance of a business constraint to an event log (2018)On the relevance of a busines…Mining process models from workflow logs (1998)Workflow mining: discovering process models from event logs (2004)The ProM Framework: A New Era in Process Mining Tool Support (2005)Discovering Data-Aware Declarative Process Models from Event Logs (2013)Online Discovery of Declarative Process Models from Event Streams (2015)Resolving inconsistencies and redundancies in declarative process models (2016)Conformance checking of processes based on monitoring real behavior (2007)A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs (2012)Time and activity sequence prediction of business process instances (2018)A Survey on Concept Drift in Process Mining (2021)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Process Mining Manifesto (2012)Mining the Organisational Perspective in Agile Business Processes (2015)Mining team compositions for collaborative work in business processes (2016)Automated discovery of declarative process models with correlated data conditions (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 mining: A survey of issues and approaches (2003)Workflow Patterns (2003)Time prediction based on process mining (2010)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Discovering models of software processes from event-based data (1998)Process-aware information systems: bridging people and software through process technology (2006)A knowledge-intensive approach to process similarity calculation (2015)Toward an Anonymous Process Mining (2015)Do activity lifecycles affect the validity of a business rule in a business process? (2016)Monitoring Business Constraints with Linear Temporal Logic: An Approach Based on Colored Automata (2011)Declarative Process Mining with the Declare Component of ProM. (2013)Process Mining: Data Science in Action (2016)DisCoveR: accurate and efficient discovery of declarative process models (2021)Probabilistic declarative process mining (2022)Event-case correlation for process mining using probabilistic optimization (2023)Monitoring business constraints with the event calculus (2013)Declarative process mining in healthcare (2015)An Eye into the Future: Leveraging A-priori Knowledge in Predictive Business Process Monitoring (2017)Wanna improve process mining results? : it’s high time we consider data quality issues seriously (2013)Controlled automated discovery of collections of business process models (2014)Overlapping Analytic Stages in Online Process Mining (2019)
this work references cited by second hop

References

  • 2007DECLARE: Full Support for Loosely-Structured Processes583 cited
  • 2009Declarative workflows: Balancing between flexibility and support531 cited
  • 2009ProM : the process mining toolkit283 cited
  • 2012Efficient Discovery of Understandable Declarative Process Models from Event Logs162 cited
  • 2009Exploiting Inductive Logic Programming Techniques for Declarative Process Mining93 cited
  • 2012Techniques for a Posteriori Analysis of Declarative Processes46 cited
  • 2013Enhancing Declare Maps Based on Event Correlations45 cited
  • 2012Process mining in the large:preprocessing, discovery, and diagnostics44 cited
  • 2015Heuristics Miner for Time Interval38 cited

Cited by

  • 2018On the relevance of a business constraint to an event log25 cited
  • 2018Process Mining Tools Comparison17 cited
  • 2019Collection and Elicitation of Business Process Compliance Patterns with Focus on Data Aspects15 cited

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