Conference Information

ECML-PKDD 2026: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

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ECML-PKDD
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Submission Date:
2026-03-05
Notification Date:
2026-05-27
Conference Date:
2026-09-07
Location:
Naples, Italy
Years:
CCF: B   ICORE: A   QUALIS: A2   Viewed: 829462   Tracked: 314   Attend: 44

Conference Partner Index (CP-I)

88.0 / 100
Ranked #92 of 5,652 conferences · Top 2%

#6 of 337 in Data Mining & Databases #11 of 736 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
92
Submission selectivity (20%)
85
Editions held (20%)
92
Community attention (10%)
75
Public record completeness (15%)
85

Inputs used: Listed as CCF B, ICORE A, QUALIS A2 · Acceptance rate: 24.3% (mean of 5 editions on file) · Editions on record: 30 · Researchers following it here: 314 · Researchers who opened this page in the past 24 months: 13

Missing from the public record: Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-08

Call For Papers

ECML-PKDD 2026 (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) is a CCF B / ICORE A / QUALIS A2 conference held in Naples, Italy on 2026-09-07. The paper submission deadline is 2026-03-05. Acceptance notifications are sent on 2026-05-27.

About European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD is the flagship European machine learning and data mining conference, attracting a worldwide audience. The conference program includes presentations of peer-reviewed research, invited talks by leaders in the field, a wide program of workshops and tutorials, poster sessions, a discovery challenge, a demo track, an applied data science track, an industry track and a PhD forum.
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Acceptance Ratio

Average acceptance rate: 23.8% over 8 years (1998–2020).

YearSubmittedAcceptedAccepted(%)
202092219521.1%
201736410127.7%
201646012326.7%
201548312125.1%
201455011520.9%
201344711124.8%
199973313017.7%
199849613126.4%

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