icdm-skills

Plugin icdm-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• icdm-artifact-evaluation

  Use when packaging code, data, and logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized, history-scrubbed repository that the PDF must cite for a triple-blind Research Track submission, how the single-blind Applied Track changes what may be revealed, and th

• icdm-author-response

  Use when preparing for the review phase of an ICDM (IEEE International Conference on Data Mining) submission - planning for a venue whose tradition is NO author rebuttal, pre-answering reviewer questions inside the submitted PDF and cited artifact, and, only if the current edition opens a response w

• icdm-camera-ready

  Use when preparing the ICDM (IEEE International Conference on Data Mining) camera-ready after acceptance - IEEE final formatting and eCopyright, de-anonymizing a triple-blind paper, handling an Accept-as-Short outcome by compressing to short-paper length, registering for in-person presentation, and

• icdm-experiments

  Use when designing or auditing the empirical evaluation for an ICDM (IEEE International Conference on Data Mining) paper - mining-task definition, strong and fairly-tuned baselines, ablations that isolate the named mechanism, scalability curves that test scale claims, and discovery-validity checks t

• icdm-related-work

  Use 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

• icdm-reproducibility

  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-

• icdm-review-process

  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

• icdm-submission

  Use when auditing an ICDM (IEEE International Conference on Data Mining) submission for readiness, covering Research-vs-Applied track choice and its anonymity regime, the triple-blind sweep, the 10-page IEEE all-inclusive cap, the single June deadline, in-paper artifact references, and the desk-leve

• icdm-supplementary

  Use when organizing supplementary and appendix material for an ICDM (IEEE International Conference on Data Mining) paper - deciding what belongs in the body, in an appendix that counts inside the single 10-page IEEE cap, or in an external anonymized repository, plus planning the compression if the p

• icdm-topic-selection

  Use when deciding whether a project is a strong ICDM (IEEE International Conference on Data Mining) fit, choosing among its Research, Applied, and Blue Sky tracks, and comparing ICDM with KDD, SDM, CIKM, WSDM, WWW, ICDE, or the ML flagships by contribution type, sponsor community, and the data-minin

• icdm-workflow

  Use when planning an ICDM (IEEE International Conference on Data Mining) project timeline from venue fit through the abstract and full-paper deadlines, the long summer wait to the August notification, the no-rebuttal review, the possible short-paper acceptance branch, IEEE camera-ready, and in-perso

• icdm-writing-style

  Use when drafting or revising prose for an ICDM (IEEE International Conference on Data Mining) paper - the data-regime-first register, the named-mechanism discipline, measured-scale language instead of scalability adjectives, discovery-validity sentences, triple-blind-safe self-reference, and compre

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