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icdm-reproducibility
Use when strengthening reproducibility for an ICDM (IEEE International Conference on Data Mining) paper - seeds, configs, compute and data reporting, and an anonymized reproduction package that survives the Research Track's triple-blind regime while every detail fights for room inside the single 10-page IEEE all-inclusive cap.
ICDM-Skills/skills/icdm-reproducibility/SKILL.md
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# ICDM Reproducibility
Make the mining result reproducible as *science*, under two ICDM-specific pressures: the
Research Track is **triple-blind**, so the reproduction package cannot reveal identity, and
the reporting all competes for space inside the **10-page all-inclusive cap**. Reproducibility
at ICDM is not a separate checklist form (verify per edition); it is evidence that the
discovery is real rather than a lucky configuration.
## What must be reproducible
- The mining task setup: exact datasets, versions, preprocessing, splits, and how ground truth
or injections were generated.
- The method: hyperparameters, model selection procedure, the mechanism's knobs (e.g. sketch
size, partition count), and the random seeds.