Difference between revisions of "ECML-PKDD 2017"
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{{Event | {{Event | ||
− | |Acronym=ECML | + | |Acronym=ECML PKDD 2017 |
|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 | ||
+ | |Series=ECML PKDD | ||
|Type=Conference | |Type=Conference | ||
|Field=machine learning, data mining, knowledge discovery | |Field=machine learning, data mining, knowledge discovery | ||
− | |Start date=2017 | + | |Start date=2017/09/19 |
− | |End date=2017 | + | |End date=2017/09/22 |
+ | |Homepage=ecmlpkdd2017.org | ||
|City=Skopje | |City=Skopje | ||
|Country=Macedonia | |Country=Macedonia | ||
− | | | + | |Submission deadline=2017/04/20 |
− | |Abstract deadline = 2017 | + | |Abstract deadline=2017/04/13 |
− | |Notification = 2017 | + | |Notification=2017/06/22 |
− | | | + | |has general chair=Michelangelo Ceci, Sašo Džeroski |
+ | |has program chair=Michelangelo Ceci, Jaakko Hollmen, Ljupčo Todorovski, Celine Vens | ||
+ | |Attendance fee currency=€ | ||
+ | |On site regular=650 | ||
+ | |Early bird regular=450 | ||
+ | |On site student=570 | ||
+ | |Early bird student=370 | ||
+ | |Registration link=http://ecmlpkdd2017.ijs.si/attending.html | ||
+ | |Submitted papers=93 | ||
+ | |Accepted papers=27 | ||
+ | |has Proceedings DOI=https://doi.org/10.1007/978-3-319-71273-4 | ||
}} | }} | ||
+ | The European Conference on Machine Learning & | ||
+ | Principles and Practice of Knowledge Discovery in Databases |
Latest revision as of 11:13, 9 May 2019
ECML-PKDD 2017 | |
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ECML-PKDD 2017 : European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
| |
Event in series | ECML PKDD |
Dates | 2017/09/19 (iCal) - 2017/09/22 |
Homepage: | ecmlpkdd2017.org |
Location | |
Location: | Skopje, Macedonia |
Loading map... | |
Important dates | |
Abstracts: | 2017/04/13 |
Submissions: | 2017/04/20 |
Notification: | 2017/06/22 |
Registration link: | http://ecmlpkdd2017.ijs.si/attending.html |
Early bird student: | € 370 / {{{Early bird fee reduced}}} Property "Early bird fee reduced" (as page type) with input value "{{{Early bird fee reduced}}}" contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process. (reduced)
|
On site student: | € 570 / {{{On site fee reduced}}} Property "On site fee reduced" (as page type) with input value "{{{On site fee reduced}}}" contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process. (reduced)
|
Early bird regular: | € 450 |
On site regular: | € 650 |
Papers: | Submitted 93 / Accepted 27 (29 %) |
Committees | |
General chairs: | Michelangelo Ceci, Sašo Džeroski |
PC chairs: | Michelangelo Ceci, Jaakko Hollmen, Ljupčo Todorovski, Celine Vens |
Table of Contents | |
The European Conference on Machine Learning &
Principles and Practice of Knowledge Discovery in Databases
Facts about "ECML-PKDD 2017"
Abstract deadline | April 13, 2017 + |
Acceptance rate | 29.0 + |
Accepted papers | 27 + |
Acronym | ECML PKDD 2017 + |
Attendance fee currency | € + |
Early bird regular | 450.00 + |
Early bird student | 370.00 + |
End date | September 22, 2017 + |
Event in series | ECML PKDD + |
Event type | Conference + |
Has coordinates | 41° 59' 46", 21° 25' 55"Latitude: 41.996180555556 Longitude: 21.431922222222 + |
Has general chair | Michelangelo Ceci + and Sašo Džeroski + |
Has location city | Skopje + |
Has location country | Category:Macedonia + |
Has program chair | Michelangelo Ceci +, Jaakko Hollmen +, Ljupčo Todorovski + and Celine Vens + |
Homepage | http://ecmlpkdd2017.org + |
IsA | Event + |
Notification | June 22, 2017 + |
On site regular | 650.00 + |
On site student | 570.00 + |
Registration link | http://ecmlpkdd2017.ijs.si/attending.html + |
Start date | September 19, 2017 + |
Submission deadline | April 20, 2017 + |
Submitted papers | 93 + |
Title | ECML-PKDD 2017 : European Conference on Machine Learning and Principles and Practice of Knowledge Discovery + |