wasm4pm 26.7.1

High-performance process mining algorithms in WebAssembly for JavaScript/TypeScript
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
{
  "algorithm": "decision_tree",
  "provenance": {
    "paper": "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. IS 2016.",
    "locus": "Section 5, random-forest / decision-tree next-activity prediction",
    "extraction": "computed"
  },
  "expected": {
    "value": "prediction_nonnull",
    "rationale": "RF model trained and queried on the running-example log must return at least one predicted activity."
  }
}