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Icdm review process

Skill brycewang-stanford/Awesome-Journal-Skills/ICDM-Skills/skills/icdm-review-process

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Use when reasoning about the ICDM (IEEE International Conference on Data Mining) review machinery - the triple-blind mechanics, the Accept / Accept-as-Short / Reject outcome space, the mixed data-mining reviewer pool, PC Co-Chair decision-making, the traditional no-rebuttal posture, and how to read an ICDM decision packet.

SKILL.md

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ICDM Review Process

Understand how ICDM decisions are actually made, so you can write for the process and read the outcome correctly. ICDM's Research Track runs a triple-blind review, has a distinctive short-paper outcome, and traditionally offers no author rebuttal — a very different shape from OpenReview venues with public discussion.

Triple-blind mechanics

  • Author identities and referee identities are both concealed. Since 2011, referee names are hidden even from each other during discussion; only the PC Co-Chairs know who is who.
  • Author names are disclosed only after ranking and acceptance are finalized — so nothing in the review can be swayed by who you are, for better or worse.
  • Practical consequence: the paper is judged purely on the anonymized PDF and its cited anonymized artifact. Write for a reviewer who knows nothing about you.

The outcome space

OutcomeWhat it meansYour move
Accept (regular)In as a full paperCamera-ready at full length
Accept as ShortContribution valued, but scoped/evidenced for short lengthCompress to the short camera-ready (see icdm-camera-ready)
RejectNot accepted this editionRevise and route (SDM/CIKM/KDD next window)

The Accept-as-Short outcome is ICDM's signature: a full submission can be offered acceptance at short length rather than rejected outright. Plan for it (see icdm-workflow), because it arrives with the notification and a compressed camera-ready deadline.

The reviewer pool

  • ICDM reviewers are data-mining specialists: algorithmic, graph, temporal, and applied-mining researchers. They reward a named mechanism, careful baselines, and defensible discovery, and they punish leaderboard-only novelty and un-checkable claims.
  • The Applied Track (single-blind, new in 2026) draws a more application-oriented pool that weights deployment and measured real-world impact.
  • Expertise varies within a paper's reviews; the self-contained body (no rebuttal to clarify) is your defense against a reviewer who misreads the setup.

The no-rebuttal posture

  • Historically ICDM has no author-response window; whether the current edition adds one is 待核实 (see icdm-author-response). Assume none when planning.
  • This makes the submitted PDF and cited artifact your only argument. Every likely reviewer question — baseline fairness, leakage, variance, scale — must be pre-answered on the page.
  • A weakness "left for the rebuttal" is a weakness left unaddressed.

Reading a decision packet

1. Find the decision line: Accept / Accept-as-Short / Reject.
2. If Accept-as-Short, read reviews for WHAT to cut vs keep - the mechanism stays.
3. Cluster review concerns: correctness, baselines, novelty, scale, clarity, validity.
4. Separate factual misreadings (fixable in camera-ready framing) from real gaps
   (need new experiments -> next venue).
5. Note anything the reviewers could not see because it was missing from the PDF/artifact;
   that is your no-rebuttal lesson for next time.

Vignette: reading an Accept-as-Short correctly

A paper comes back "accepted as a short paper": reviewers found the mechanism novel but felt one of three experiments was under-developed. The wrong read is disappointment; the right read is a scoping instruction. The team keeps the mechanism and its strongest experiment in the short body, moves the two weaker experiments and all protocol detail to the cited repository, and ships a tight short paper on time — the contribution is preserved, just at the length reviewers judged it earned.

Output format

[Decision] Accept / Accept-as-Short / Reject
[Regime read] triple-blind (Research) / single-blind (Applied)
[Concern clusters] correctness / baselines / novelty / scale / clarity / validity
[Misreading vs gap] <which concerns are framing-fixable vs need new work>
[No-rebuttal lesson] <what was missing from PDF/artifact that reviewers needed>
[Next move] camera-ready / short-compression / revise-and-route

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.