wasm4pm 26.7.1

High-performance process mining algorithms in WebAssembly for JavaScript/TypeScript
Documentation
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{
  "algorithm": "simd_streaming_dfg",
  "provenance": {
    "paper": "Process Mining: Data Science in Action",
    "citation": "van der Aalst, W.M.P. (2016). Process Mining: Data Science in Action. Springer. Ch 4.",
    "locus": "Chapter 4 — Directly-Follows Graph; SIMD streaming variant produces identical topology to standard DFG",
    "extraction": "verbatim"
  },
  "input": {
    "log": "wasm4pm/tests/fixtures/running-example.xes"
  },
  "expected": {
    "value": "activities=8,edges=16",
    "description": "SIMD streaming DFG on running-example has 8 activity nodes and 16 directly-follows edges; SIMD path is a throughput optimisation only; running-example has 16 distinct directly-follows pairs including the reinitiate request loop"
  }
}