Skills Data Science Writing Related Work for Data Mining Papers

Writing Related Work for Data Mining Papers

v20260724
icdm-related-work
A comprehensive guide detailing how to structure the 'Related Work' section for submissions to top data mining conferences like ICDM. It emphasizes positioning the research based on core mechanisms and mining tasks, rather than simply listing results. The guide also provides critical advice on maintaining triple-blind anonymity, verifying citation venues (avoiding misattribution traps), and ensuring the novelty claim is distilled into a single, quotable mechanism-contrast sentence.
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Overview

ICDM Related Work

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>
Info
Category Data Science
Name icdm-related-work
Version v20260724
Size 4.18KB
Updated At 2026-07-28
Language