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>
1---2name: icdm-reproducibility3description: 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.4---56# ICDM Reproducibility78Make the mining result reproducible as *science*, under two ICDM-specific pressures: the9Research Track is **triple-blind**, so the reproduction package cannot reveal identity, and10the reporting all competes for space inside the **10-page all-inclusive cap**. Reproducibility11at ICDM is not a separate checklist form (verify per edition); it is evidence that the12discovery is real rather than a lucky configuration.1314## What must be reproducible1516- The mining task setup: exact datasets, versions, preprocessing, splits, and how ground truth17 or injections were generated.18- The method: hyperparameters, model selection procedure, the mechanism's knobs (e.g. sketch19 size, partition count), and the random seeds.20- The evaluation: metrics, thresholds/cutoffs, variance estimation, and the hardware behind any21 timing claim.2223## Reproducibility tiers2425| Tier | What a reviewer can do | How to reach it |26|---|---|---|27| Rerunnable | Re-execute your scripts and get your tables | Pinned deps, seeds, config files, entry script |28| Rebuildable | Reconstruct the pipeline from description alone | Precise protocol in the paper + appendix |29| Attested | Trust numbers that cannot be shared (private data) | Documented protocol + synthetic proxy + honest scope |3031Aim for rerunnable on any public-data result; use attested only where data genuinely cannot be32released, and say so plainly.3334## Configs as artifacts3536Put the run behind a config, not scattered command-line flags, so a reviewer reproduces a table37by pointing at a file.3839```yaml40# repro/config.yaml (anonymized; no author paths, no institutional dataset names)41task: stream_anomaly_ranking42dataset: public_edge_stream_v3 # public source + version, not an internal name43seeds: [0, 1, 2, 3, 4, ... , 19] # the 20 seeds behind the reported variance44method:45 sketch_partitions: 128 # the mechanism knob mapped in the ablation46 hash_family: multiplicative47eval:48 metric: precision_at_k49 k: 10050 time_respecting_split: true51compute:52 hardware: "1x consumer GPU, 16GB" # generic; states the basis of any timing claim53```5455## Triple-blind the package5657- Export a **fresh repository with no git history** — commit metadata routinely leaks author58 names and institutions.59- Remove author paths, usernames, internal dataset names, cluster hostnames, and README60 acknowledgements.61- Host it so the link in the PDF resolves to an anonymized location, not a named account.62- Because ICDM traditionally offers no rebuttal, this package is often the only extra evidence63 a reviewer ever sees — it must be complete and anonymous *at submission time*.6465## Report inside the page cap6667- The full reproduction protocol can live in an in-cap appendix and the cited repository; the68 body must still state seeds, key hyperparameters, and the compute basis of timing claims.69- Prefer a compact reproducibility paragraph plus a repository over a sprawling appendix that70 eats pages the body needs.7172## Vignette: the seed table that answered a review before it was written7374A team worried reviewers would read their close margins as noise. Rather than hope for a75rebuttal that ICDM might not offer, they reported every metric with a standard deviation over7620 seeds, shipped the seed list and configs in an anonymized, history-scrubbed repository cited77in the PDF, and stated the exact GPU behind their latency numbers. The "is this just noise?"78review never came, because the paper had already answered it — and nothing in the package79revealed who they were.8081## Output format8283```text84[Repro tier] rerunnable / rebuildable / attested (per result)85[Seeds+variance] reported: yes / no86[Config-as-artifact] present: yes / no87[Anonymized package] history-scrubbed + no institutional names: yes / leaks found88[Compute basis] hardware behind timing claims stated: yes / no89[Top gap] <single most important missing reproducibility detail>90```