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Multidimensional Process Mining Using Process Cubes
8 references·6 citing·35 second hop
Multidimensional Process Mining Using Process Cubes (2015)Multidimensional Process Mining Using Pro…Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining (2013)Process Cubes: Slicing, Dicin…Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Process Mining: Discovery, Co…Process Mining (2011)Process MiningA survey on summarizability issues in multidimensional modeling (2009)A survey on summarizability i…The ProM Framework: A New Era in Process Mining Tool Support (2005)The ProM Framework: A New Era…Workflow mining: discovering process models from event logs (2004)Workflow mining: discovering …Discovering models of software processes from event-based data (1998)Discovering models of softwar…An overview of data warehousing and OLAP technology (1997)An overview of data warehousi…Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP) (2021)Removing Operational Friction…AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion (2021)AI-Empowered Process Mining f…Measuring the Behavioral Quality of Log Sampling (2019)Measuring the Behavioral Qual…Multi-perspective Comparison of Business Process Variants Based on Event Logs (2018)Multi-perspective Comparison …PMCube: A Data-Warehouse-Based Approach for Multidimensional Process Mining (2016)PMCube: A Data-Warehouse-Base…A Visual Approach to Spot Statistically-Significant Differences in Event Logs Based on Process Metrics (2016)A Visual Approach to Spot Sta…THE DIMENSIONAL FACT MODEL: A CONCEPTUAL MODEL FOR DATA WAREHOUSES (1998)From enterprise models to dimensional models: a methodology for data warehouse and data mart design. (2000)Fundamentals of Data Warehouses (2003)Extending OCL for OLAP querying on conceptual multidimensional models of data warehouses (2009)A framework for multidimensional design of data warehouses from ontologies (2010)GEM: Requirement-Driven Generation of ETL and Multidimensional Conceptual Designs (2011)Data Cleaning: Problems and Current Approaches. (2000)Exploratory Data Mining and Data Cleaning (2003)Building a Data Warehouse (2008)An overview of business intelligence technology (2011)Workflow mining: A survey of issues and approaches (2003)Business process mining: An industrial application (2006)Semantics and analysis of business process models in BPMN (2008)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Conformance checking of processes based on monitoring real behavior (2007)Big data: The next frontier for innovation, competition, and productivity (2011)Extracting Event Data from Databases to Unleash Process Mining (2015)Enabling value stream mapping for internal logistics using multidimensional process mining (2019)Extraction, correlation, and abstraction of event data for process mining (2019)Time prediction based on process mining (2010)Analyzing Process Variants to Understand Differences in Key Performance Indices (2017)Finding Process Variants in Event Logs (2017)Business Process Variant Analysis Based on Mutual Fingerprints of Event Logs (2020)A common language effect size statistic. (1992)IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams (2016)Process variant comparison: Using event logs to detect differences in behavior and business rules (2017)Mining Process Mining Practices: An Exploratory Characterization of Information Needs in Process Analytics (2019)Robust Drift Characterization from Event Streams of Business Processes (2020)Partial-order-based process mining: a survey and outlook (2022)Process Mining Manifesto (2012)Business Process Management: A Comprehensive Survey (2013)Digital Innovation Management: Reinventing Innovation Management Research in a Digital World (2017)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Replaying history on process models for conformance checking and performance analysis (2012)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)
this work references cited by second hop

References

  • 1997An overview of data warehousing and OLAP technology2,424 cited
  • 2004Workflow mining: discovering process models from event logs2,206 cited
  • 2011Process Mining1,804 cited
  • 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes1,725 cited
  • 2005The ProM Framework: A New Era in Process Mining Tool Support929 cited
  • 1998Discovering models of software processes from event-based data870 cited
  • 2013Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining119 cited
  • 2009A survey on summarizability issues in multidimensional modeling109 cited

Cited by

  • 2016A Visual Approach to Spot Statistically-Significant Differences in Event Logs Based on Process Metrics47 cited
  • 2018Multi-perspective Comparison of Business Process Variants Based on Event Logs44 cited
  • 2021Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)20 cited
  • 2019Measuring the Behavioral Quality of Log Sampling19 cited
  • 2016PMCube: A Data-Warehouse-Based Approach for Multidimensional Process Mining17 cited
  • 2021AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion17 cited

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