european-conference-on-machine-learning-and-principles-and-practice-of-knowledge-discovery
Use when targeting European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for AI/data mining.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill european-conference-on-machine-learning-and-principles-and-practice-of-knowledge-discovery --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) ## Conference positioning European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) is a top computer-science conference venue for European ML and knowledge-discovery research across methods, mining, applications, and data-centric AI. It rewards a solid ML or data-mining paper positioned for a broad European AI/data audience. Treat this skill as a **fit / venue-selection / re-framing** tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal. Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in `../../resources/conference-roster.md` and `../../resources/official-source-map.md`. ## When to trigger - The author names ECML PKDD / European Conference on Machine Learning and Principles a
- Conference positioning
- When to trigger
- Scope & topic fit
- Venue-specific calibration
- Close-neighbor routing guardrail
- What distinguishes this venue from its closest siblings
- ECML PKDD-specific routing detail
- Method & evidence bar
- Structure & house style
- Official-cycle checklist
- Pre-submission self-check
- Common desk-reject triggers
- Re-routing decision
- Output format
What does the european-conference-on-machine-learning-and-principles-and-practice-of-knowledge-discovery skill do?
Use when targeting European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for AI/data mining.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill european-conference-on-machine-learning-and-principles-and-practice-of-knowledge-discovery --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.