技能 数据科学 ICDM学术论文可复现性指南

ICDM学术论文可复现性指南

v20260724
icdm-reproducibility
本指南旨在帮助研究人员为顶级数据挖掘会议(如ICDM)撰写论文时,确保研究结果具有极高的可复现性。它详细阐述了在三盲评审和严格页面限制下,如何管理和报告关键工件,包括配置文件、随机种子列表和匿名化的代码包,确保科学发现的严谨性。
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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.
  • The evaluation: metrics, thresholds/cutoffs, variance estimation, and the hardware behind any timing claim.

Reproducibility tiers

Tier What a reviewer can do How to reach it
Rerunnable Re-execute your scripts and get your tables Pinned deps, seeds, config files, entry script
Rebuildable Reconstruct the pipeline from description alone Precise protocol in the paper + appendix
Attested Trust numbers that cannot be shared (private data) Documented protocol + synthetic proxy + honest scope

Aim for rerunnable on any public-data result; use attested only where data genuinely cannot be released, and say so plainly.

Configs as artifacts

Put the run behind a config, not scattered command-line flags, so a reviewer reproduces a table by pointing at a file.

# repro/config.yaml  (anonymized; no author paths, no institutional dataset names)
task: stream_anomaly_ranking
dataset: public_edge_stream_v3      # public source + version, not an internal name
seeds: [0, 1, 2, 3, 4, ... , 19]    # the 20 seeds behind the reported variance
method:
  sketch_partitions: 128            # the mechanism knob mapped in the ablation
  hash_family: multiplicative
eval:
  metric: precision_at_k
  k: 100
  time_respecting_split: true
compute:
  hardware: "1x consumer GPU, 16GB"  # generic; states the basis of any timing claim

Triple-blind the package

  • Export a fresh repository with no git history — commit metadata routinely leaks author names and institutions.
  • Remove author paths, usernames, internal dataset names, cluster hostnames, and README acknowledgements.
  • Host it so the link in the PDF resolves to an anonymized location, not a named account.
  • Because ICDM traditionally offers no rebuttal, this package is often the only extra evidence a reviewer ever sees — it must be complete and anonymous at submission time.

Report inside the page cap

  • The full reproduction protocol can live in an in-cap appendix and the cited repository; the body must still state seeds, key hyperparameters, and the compute basis of timing claims.
  • Prefer a compact reproducibility paragraph plus a repository over a sprawling appendix that eats pages the body needs.

Vignette: the seed table that answered a review before it was written

A team worried reviewers would read their close margins as noise. Rather than hope for a rebuttal that ICDM might not offer, they reported every metric with a standard deviation over 20 seeds, shipped the seed list and configs in an anonymized, history-scrubbed repository cited in the PDF, and stated the exact GPU behind their latency numbers. The "is this just noise?" review never came, because the paper had already answered it — and nothing in the package revealed who they were.

Output format

[Repro tier] rerunnable / rebuildable / attested (per result)
[Seeds+variance] reported: yes / no
[Config-as-artifact] present: yes / no
[Anonymized package] history-scrubbed + no institutional names: yes / leaks found
[Compute basis] hardware behind timing claims stated: yes / no
[Top gap] <single most important missing reproducibility detail>
信息
Category 数据科学
Name icdm-reproducibility
版本 v20260724
大小 4.21KB
更新时间 2026-07-28
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