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An Intent-Based Natural Language Interface for Querying Process Execution Data
9 references·1 citing·41 second hop
An Intent-Based Natural Language Interface for Querying Process Execution Data (2021)An Intent-Based Natural Language Interfac…Multi-Dimensional Event Data in Graph Databases (2021)Multi-Dimensional Event Data …Connecting databases with process mining: a meta model and toolset (2018)Connecting databases with pro…Process querying: Enabling business intelligence through query-based process analytics (2017)Process querying: Enabling bu…Process Mining (2016)Process MiningProcess Analytics Concepts and Techniques for Querying and Analyzing Process Data (2016)Process Analytics Concepts an…Efficient and Customisable Declarative Process Mining with SQL (2016)Efficient and Customisable De…Log-Based Understanding of Business Processes through Temporal Logic Query Checking (2014)Log-Based Understanding of Bu…SODA (2012)SODAA Query Language for Analyzing Business Processes Execution (2011)A Query Language for Analyzin…Natural language querying of process execution data (2023)Natural language querying of …Data Cleaning: Problems and Current Approaches. (2000)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)A Framework for the Systematic Comparison and Evaluation of Compliance Monitoring Approaches (2013)ProcessAtlas: A scalable and extensible platform for business process analytics (2018)OC-PM: analyzing object-centric event logs and process models (2022)The data warehouse toolkit: practical techniques for building dimensional data warehouses (1996)The SDSS skyserver (2002)Data Science für Lehre, Forschung und Praxis (2014)A natural language querying interface for process mining (2022)A Meta Model for Process Mining Data. (2005)XES, XESame, and ProM 6 (2011)IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams (2016)Extracting Object-Centric Event Logs to Support Process Mining on Databases (2018)How active learning and process mining can act as Continuous Auditing catalyst (2018)Quality-informed semi-automated event log generation for process mining (2020)Declarative workflows: Balancing between flexibility and support (2009)Parallel algorithms for the automated discovery of declarative process models (2017)Towards Event Log Querying for Data Quality (2018)Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study (2024)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)A Design Science Research Methodology for Information Systems Research (2007)Challenges of smart business process management: An introduction to the special issue (2017)Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems (2020)Discovering Social Networks from Event Logs (2005)Process Mining: Data Science in Action (2016)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Object-Centric Process Mining: Unraveling the Fabric of Real Processes (2023)Efficient Compliance Checking Using BPMN-Q and Temporal Logic (2008)Process Model Generation from Natural Language Text (2011)The ProM Framework: A New Era in Process Mining Tool Support (2005)DECLARE: Full Support for Loosely-Structured Processes (2007)Efficient Consistency Measurement Based on Behavioral Profiles of Process Models (2010)Do activity lifecycles affect the validity of a business rule in a business process? (2016)On the relevance of a business constraint to an event log (2018)ASP-Based Declarative Process Mining (2022)Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap (2018)Understanding the adoption and institutionalization of workforce analytics: A systematic literature review and research agenda (2023)Outcome-Oriented Predictive Process Monitoring (2019)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)
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References

  • 2016Process Mining2,166 cited
  • 2017Process querying: Enabling business intelligence through query-based process analytics104 cited
  • 2021Multi-Dimensional Event Data in Graph Databases103 cited
  • 2018Connecting databases with process mining: a meta model and toolset84 cited
  • 2011A Query Language for Analyzing Business Processes Execution81 cited
  • 2012SODA79 cited
  • 2016Efficient and Customisable Declarative Process Mining with SQL62 cited
  • 2016Process Analytics Concepts and Techniques for Querying and Analyzing Process Data45 cited
  • 2014Log-Based Understanding of Business Processes through Temporal Logic Query Checking32 cited

Cited by

  • 2023Natural language querying of process execution data11 cited

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