wasm4pm 26.7.1

High-performance process mining algorithms in WebAssembly for JavaScript/TypeScript
Documentation
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{
  "algorithm": "ml_classify",
  "provenance": {
    "paper": "A General Process Mining Framework for Correlating, Predicting and Clustering Dynamic Behavior Based on Event Logs",
    "citation": "de Leoni, M., van der Aalst, W.M.P., Dees, M. (2016). A General Process Mining Framework for Correlating, Predicting and Clustering Dynamic Behavior Based on Event Logs. Information Systems 56.",
    "locus": "Section 3.2, classification model",
    "extraction": "verbatim"
  },
  "input": {
    "log": "wasm4pm/tests/fixtures/running-example.xes"
  },
  "expected": {
    "value": "classes=2",
    "description": "Running example has 2 outcome classes: reject request and pay compensation"
  }
}