Time-Based Label Refinements to Discover More Precise Process Models

  title={Time-Based Label Refinements to Discover More Precise Process Models},
  author={Niek Tax and Emin Alasgarov and N. Sidorova and W. V. Aalst and R. Haakma},
  • Niek Tax, Emin Alasgarov, +2 authors R. Haakma
  • Published 2019
  • Computer Science, Mathematics
  • ArXiv
  • Process mining is a research field focused on the analysis of event data with the aim of extracting insights related to dynamic behavior. Applying process mining techniques on data from smart home environments has the potential to provide valuable insights in (un)healthy habits and to contribute to ambient assisted living solutions. Finding the right event labels to enable the application of process mining techniques is however far from trivial, as simply using the triggering sensor as the… CONTINUE READING
    3 Citations
    Mining Insights from Weakly-Structured Event Data
    Collaborative and Interactive Detection and Repair of Activity Labels in Process Event Logs


    On Generation of Time-based Label Refinements
    • 12
    • PDF
    Mining local process models
    • 64
    • PDF
    Flexible Heuristics Miner (FHM)
    • 352
    • PDF
    Robust Process Discovery with Artificial Negative Events
    • 170
    • PDF