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|Title=ECML-PKDD 2017 : European Conference on Machine Learning and Principles and Practice of Knowledge Discovery | |Title=ECML-PKDD 2017 : European Conference on Machine Learning and Principles and Practice of Knowledge Discovery | ||
|Type=Conference | |Type=Conference | ||
− | | | + | |Official Website=http://ecmlpkdd2017.org |
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|City=Skopje | |City=Skopje | ||
− | |Country= | + | |Country=Country:MK |
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|has general chair=Michelangelo Ceci, Sašo Džeroski | |has general chair=Michelangelo Ceci, Sašo Džeroski | ||
|has program chair=Michelangelo Ceci, Jaakko Hollmen, Ljupčo Todorovski, Celine Vens | |has program chair=Michelangelo Ceci, Jaakko Hollmen, Ljupčo Todorovski, Celine Vens | ||
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|On site student=570 | |On site student=570 | ||
|Early bird student=370 | |Early bird student=370 | ||
− | |Registration | + | |Registration Link=http://ecmlpkdd2017.ijs.si/attending.html |
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|has Proceedings DOI=https://doi.org/10.1007/978-3-319-71273-4 | |has Proceedings DOI=https://doi.org/10.1007/978-3-319-71273-4 | ||
|pageCreator=Liy1 | |pageCreator=Liy1 | ||
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|Start Date=2017/09/19 | |Start Date=2017/09/19 | ||
|End Date=2017/09/22 | |End Date=2017/09/22 | ||
+ | |Academic Field=Machine Learning;Data Mining;Knowledge Discovery | ||
+ | |Event Status=as scheduled | ||
+ | |Event Mode=on site | ||
}} | }} | ||
+ | {{Event Deadline | ||
+ | |Abstract Deadline=2017/04/13 | ||
+ | |Notification Deadline=2017/06/22 | ||
+ | |Submission Deadline=2017/04/20 | ||
+ | }} | ||
+ | {{Event Metric | ||
+ | |Number Of Submitted Papers=93 | ||
+ | |Number Of Accepted Papers=27 | ||
+ | }} | ||
+ | {{S Event}} | ||
The European Conference on Machine Learning & | The European Conference on Machine Learning & | ||
Principles and Practice of Knowledge Discovery in Databases | Principles and Practice of Knowledge Discovery in Databases |
Latest revision as of 14:45, 19 October 2022
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Metrics
Submitted Papers
93
Accepted Papers
27
Venue
Skopje, North Macedonia
Warning: Venue is missing. The map might not show the exact location.
The European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases