SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Interactive Process Mining in IoT and Human Behaviour Modelling
4 references·4 citing·29 second hop
Interactive Process Mining in IoT and Human Behaviour Modelling (2020)Interactive Process Mining in IoT and Hum…Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application (2019)Analyzing of Gender Behaviors…Using Process Mining for Automatic Support of Clinical Pathways Design (2014)Using Process Mining for Auto…Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes (2013)Process Mining for Individual…Handling Concept Drift in Process Mining (2011)Handling Concept Drift in Pro…LLM-Based Event Abstraction and Integration for IoT-Sourced Logs (2025)LLM-Based Event Abstraction a…An Interactive Error-correcting Approach for IoT-sourced Event Logs (2024)An Interactive Error-correcti…Do You Behave Always the Same? (2023)Do You Behave Always the Same?A Survey on the Application of Process Mining to Smart Spaces Data (2023)A Survey on the Application o…YAWL: yet another workflow language (2004)Process Flexibility: A Survey of Contemporary Approaches (2008)Dealing With Concept Drifts in Process Mining (2013)Wanna improve process mining results? (2013)Single-Entry Single-Exit decomposed conformance checking (2014)Workflow mining: A survey of issues and approaches (2003)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Process Mining to Discover Shoppers’ Pathways at a Fashion Retail Store Using a WiFi-Base Indoor Positioning System (2017)Process Mining in Healthcare: A Systematic Review (2018)Process mining applications in the healthcare domain: A comprehensive review (2021)Workflow mining: discovering process models from event logs (2004)Diabetes care related process modelling using Process Mining techniques. Lessons learned in the application of Interactive Pattern Recognition: coping with the Spaghetti Effect (2015)Interactive Data Cleaning for Process Mining: A Case Study of an Outpatient Clinic’s Appointment System (2019)Dynamic Models Supporting Personalised Chronic Disease Management through Healthcare Sensors with Interactive Process Mining (2020)Business process mining: An industrial application (2006)Process Mining Application for Analysis of Customer’s Different Visits in a Shopping Mall (2019)On a Certain Research Gap in Big Data Mining for Customer Insights (2021)A survey on the application of process discovery techniques to smart spaces data (2023)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Event Abstraction for Process Mining Using Supervised Learning Techniques (2017)Event abstraction in process mining: literature review and taxonomy (2020)A Methodology for the Analysis of Robotic Systems via Process Mining (2023)Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches (2014)Process Mining (2016)Conformance Checking (2018)Data preparation for data mining (2003)Data quality in internet of things: A state-of-the-art survey (2016)PM$$^2$$: A Process Mining Project Methodology (2015)
this work references cited by second hop

References

  • 2011Handling Concept Drift in Process Mining199 cited
  • 2013Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes93 cited
  • 2019Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application52 cited
  • 2014Using Process Mining for Automatic Support of Clinical Pathways Design47 cited

Cited by

  • 2023A Survey on the Application of Process Mining to Smart Spaces Data11 cited
  • 2023Do You Behave Always the Same?11 cited
  • 2024An Interactive Error-correcting Approach for IoT-sourced Event Logs10 cited
  • 2025LLM-Based Event Abstraction and Integration for IoT-Sourced Logs8 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work