Description
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) is a significant annual event that brings together researchers, practitioners, and industry experts in the fields of machine learning and data mining. The conference serves as a platform for presenting cutting-edge research, sharing innovative ideas, and discussing the latest advancements in these rapidly evolving fields.
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ECML PKDD 2026 is scheduled to take place from September 7 to 11 in Porto, Portugal. This event continues a long tradition of successful conferences, with recent editions held in various locations across Europe. For instance, ECML PKDD 2025 will be hosted in Vilnius, Lithuania from September 15 to 19, while ECML PKDD 2024 is set for September 9 to 13 in Torino, Italy. The conference has also adapted to changing circumstances, with virtual formats employed in previous years, such as ECML PKDD 2022, which took place online from September 19 to 23.
The conference attracts a diverse audience, including researchers, data scientists, and industry professionals, all eager to engage with the latest research findings and practical applications in machine learning and knowledge discovery. Participants can expect a rich program that includes keynote speeches, paper presentations, workshops, and networking opportunities, allowing for meaningful interactions and collaborations.
To stay informed about upcoming editions and developments related to the conference, interested individuals are encouraged to reach out through the provided contact options. ECML PKDD not only highlights the importance of machine learning and data mining but also emphasizes the collaborative spirit of the community, making it a must-attend event for anyone involved in these fields.
- CategoryOther AI Tools
Highlights
Annual conference
Keynote speeches
Paper presentations
Workshops
Networking opportunities
International locations
Virtual participation options
Collaboration focus
Who Should Attend
- Research dissemination
- Networking
- Skill development
- Collaboration opportunities
- Industry insights
