Skills Data Science Preparing For Data Mining Review

Preparing For Data Mining Review

v20260724
icdm-author-response
A comprehensive guide for authors preparing submissions for top-tier data mining conferences (e.g., ICDM). It emphasizes the critical strategy of preemptively addressing potential weaknesses—such as baselines, variance, scaling, and data leakage—directly within the submitted manuscript, as author rebuttals are often not permitted. Also provides strict guidelines for drafting anonymous, high-impact responses if a rebuttal window is available.
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Overview

ICDM Author Response

Prepare for the ICDM review phase under its defining reality: ICDM's tradition is no author rebuttal. Whether the current edition opens a response window is 待核实 (the ICDM 2025 call mentioned responses becoming part of the submission), so this skill has two modes — the default "there is no rebuttal" plan, and the contingency reply if a window exists. Confirm the current Research Track call before assuming either.

Default mode: pre-answer everything at submission

Because you may never get to reply, the submitted PDF and its cited anonymized artifact must answer the questions a reviewer would otherwise raise. Do this before the deadline.

  • Baseline fairness: state the tuning budget you gave baselines; pre-empt "you under-tuned the competitor."
  • Variance: report standard deviations over seeded runs; pre-empt "is this just noise?"
  • Leakage: state the time-respecting or edge-disjoint split; pre-empt "your split leaks."
  • Scale: show the cost curve and hardware; pre-empt "scalable is asserted, not shown."
  • Discovery validity: tie findings to known-truth injections; pre-empt "this is an artifact."

A weakness you notice yourself is a weakness to fix in the paper, not to defer to a rebuttal that may not come.

Contingency mode: if a response window opens

If the edition does provide a response, treat it as a scarce, high-value channel:

Reviewer point Response move
Factual misreading Correct it with a pointer to the exact section/table already in the PDF
Missing-baseline ask Report the result if you already have it; do not promise future work
Clarity complaint Acknowledge and state the one-line clarification (fixable in camera-ready)
Fundamental gap Concede briefly; do not oversell — honesty reads better than bluster
Response skeleton (only if a window exists; keep it tight):
  R1: [concern] -> [one-sentence answer + exact pointer to existing evidence]
  R2: [concern] -> [answer]  (report only results you already have)
  R3: [concern] -> [concede if it is a real gap]
Rule: reference evidence already in the submitted PDF/artifact; introduce nothing that
would break triple-blind anonymity or that you cannot substantiate.

Keep any response anonymity-safe

  • The Research Track is triple-blind; a response, if it exists, must not reveal author identity, institution, or a de-anonymizing link.
  • Do not smuggle in new non-anonymized material or an external identifying URL.

What not to do

  • Do not plan the paper assuming a rebuttal will rescue a known weakness.
  • Do not, if a window exists, argue combatively or restate the paper; answer the specific point.
  • Do not promise experiments "in the final version" as a substitute for evidence reviewers can see now.

Vignette: the weakness that never got a second chance

A team knew their leakage guard was easy to misread but assumed they could explain it in a rebuttal. ICDM offered none; two reviewers flagged possible leakage and the paper was rejected on a doubt the authors could have removed with one sentence in the submitted PDF. The lesson: at ICDM, the rebuttal happens before submission — in the writing. The next cycle they stated the split explicitly in the experimental setup and the concern never arose.

Output format

[Rebuttal exists?] no (default) / yes (verify on current call)
[Pre-answered in PDF] baselines / variance / leakage / scale / validity - list gaps
[If window exists] per-reviewer reply drafted: yes / N-A
[Anonymity] response reveals no identity: pass / N-A
[Pre-submission fixes] <questions to answer in the paper before the deadline>
Info
Category Data Science
Name icdm-author-response
Version v20260724
Size 4KB
Updated At 2026-07-28
Language