ICDM Related Work
SkillDev toolsUse when positioning an ICDM (IEEE International Conference on Data Mining) paper's related work - lineage against prior ICDM editions and IEEE data-mining neighbors, the mechanism-contrast novelty sentence, avoiding KDD/SDM/CIKM/WSDM venue misattribution, and citing your own prior work in the third person so the section stays triple-blind-safe.
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Then ask your AI: use the ICDM Related Work skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in ICDM-Skills/skills/icdm-related-work/SKILL.md and read by ahel’s review.
Position the paper against the data-mining literature the way an ICDM reviewer reads it: by mechanism and mining task, not by benchmark leaderboard. The section has two ICDM constraints — it must contrast your mechanism with prior mechanisms, and it must do so without breaking the Research Track's triple-blind anonymity or misattributing sibling-venue work to ICDM.
Position by mechanism, not by results table
- For each closely related method, state what mechanism it uses and the specific thing your mechanism changes: the isolation criterion, the sparsity structure, the walk kernel, the sketch, the update rule. "We also do anomaly detection" is not positioning.
- Group prior work by the mining primitive it shares with you, so the reader sees the lineage your contribution extends or breaks.
- End the closest-competitor paragraph with a one-sentence mechanism-contrast: "Unlike [X], which stores the full graph to compute isolation depth, our sketch estimates it in one pass with a stated error." That sentence is the novelty claim reviewers quote.
Cite the ICDM lineage where it exists
ICDM has durable research lines you can anchor to — random walks with restart, isolation-based
detection, sparse linear recommendation, scalable graph systems, corrected time-series
averaging (see resources/exemplars/library.md). Situating your work in an ICDM line signals
venue fit. But cite the paper for its mechanism, and verify the edition on dblp before
attributing anything.
The misattribution trap
Data-mining fame does not mean ICDM placement. Getting a venue wrong in related work is a credibility hit a data-mining reviewer notices immediately.
| Paper / method | Actual venue | Not |
|---|---|---|
| node2vec, DeepWalk | KDD | ICDM |
| LINE (network embedding) | WWW | ICDM |
| SMOTE | JAIR (journal) | ICDM |
| t-SNE, Kernel Two-Sample Test | JMLR (journal) | ICDM |
| Many "SDM" mining papers | SDM (SIAM) | ICDM |
Check each citation's venue on dblp; ICDM, KDD, CIKM, WSDM, and SDM overlap in topic and are easy to confuse.
Keep it triple-blind-safe
- Cite your own prior work in the third person: "Building on the sketch of [12]," not "building on our sketch of [12]."
- Do not signal a research program only your group could have ("in our line of work on X").
- Do not cite an anonymized-breaking preprint by a title that de-anonymizes you; if a concurrent arXiv version exists, follow the current call's policy on declaring it.
Handle concurrent and recent work
- ICDM's June deadline sits after the spring conference season; recent CIKM, WWW, and KDD cycles may contain concurrent work. Acknowledge genuinely concurrent results as concurrent, not as prior art you failed to beat.
- Because the whole section lives inside the 10-page all-inclusive cap, prune citations that do not sharpen the mechanism contrast; a padded related-work section costs you body space.
Vignette: a novelty sentence that survived review
An author's first draft said "our method is related to random-walk methods and embedding methods." The revision named the closest competitor's mechanism (full-graph restart computation), stated the delta (single-pass estimation with a bound), verified on dblp that the competitor was an ICDM paper and that a wrongly-cited "ICDM" embedding paper was actually a KDD paper, and rewrote the self-citation in the third person. The section shrank by a third and the novelty claim became a single quotable sentence.
Output format
[Positioning] mechanism-contrast / results-only (fix if results-only)
[Novelty sentence] <one-sentence mechanism delta vs closest work>
[Venue check] all citations verified on dblp: yes / misattributions found
[Anonymity] third-person self-cites: yes / leaks found
[Trim list] <citations to cut to protect the 10-page cap>
Signals
- GitHub stars
- 1k
- Forks
- 155
- Last commit
- Sep 2026
Advanced
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- skill
- Key
icdm-related-work- Source
- github.com/brycewang-stanford/awesome-journal-skills
github.com/brycewang-stanford/awesome-journal-skills
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