Difference between revisions of "ECML PKDD 2018"

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Latest revision as of 03:53, 6 December 2021

Event Rating

median	worst

List of all ratings can be found at ECML PKDD 2018/rating

ECML PKDD 2018
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Event in series	ECML PKDD
Dates	2018-09-10 (iCal) - 2018-09-14
Homepage:	http://www.ecmlpkdd2018.org/
Twitter account:	@ECMLPKDD
Location
Location:	US/CA/Dublin, US/CA, US
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Important dates
Submissions:	2018/04/12
Camera ready due:	2018/07/06

Registration link:	http://www.ecmlpkdd2018.org/registration/
Early bird student:	€ 395 / {{{Early bird fee reduced}}} (reduced)
On site student:	€ 595 / {{{On site fee reduced}}} (reduced)
Early bird regular:	€ 525
On site regular:	€ 725
Papers:	Submitted 353 / Accepted 94 (26.6 %)
Committees
General chairs:	Michele Berlingerio, Neil Hurley
PC chairs:	Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Georgiana Ifrim
Table of Contents
Contents 1 Event Rating
Tweets by @ECMLPKDD\| colspan="2" style="padding-top: 2px; " \| Tweets by {{{Twitter account}}}

Enter your description here. Maybe just paste in the call for papers.

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Acceptance rate

26.6 +

AcronymThis property is of the datatype Text and it is being used to provide the acronym of an academic event or an event series.It is a recommended property when describing an academic event or event series and it is not needed for the DOI registration process via DataCite.

ECML PKDD 2018 +

End dateThis property is of the datatype Date and it is being used to provide the end date of an academic event or a project.This property is aligned with icaltzd:dtend.It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.

September 14, 2018 +

Event in seriesThe property Event in series, of the datatype Page, is used to state that an academic event is part of a specific academic event series. Although this property is not needed for the DOI registration process via DataCite its usage is strongly recommended.

ECML PKDD +

Event typeThis property of the datatype Text is used to specify the format of an academic event. The use of this property is recommended. It is necessary for the DOI registration process via DataCite.

Conference +

Has location cityThe property Has location city can be used to specify the city where a street, building, event, etc. is located in.It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location country, property:Has location state and property:Has location address.When specifying the city in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.

US/CA/Dublin +

Has location countryThe property Has location country is used to describe the country where something is located in.It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location city, property:Has location state and property:Has location address.When specifying the country in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.

US +

Has year

2018 +

HomepageThis property is of the datatype URL and it is being used to provide the official website of an academic event or an event series.It is a recommended property when describing an academic event or event series and it is not needed for the DOI registration process via DataCite.

http://www.ecmlpkdd2018.org/ +

IsA

Event +

Start dateThis property is of the datatype Date and it is being used to provide the start date of an academic event or a project.This property is aligned with icaltzd:dtstart. It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.

September 10, 2018 +

@@ Line 25: / Line 25: @@
 |Title          =European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
 |Accepted papers=94
-|Submitted papers=353}}
+|Submitted papers=353
+}}
 ''Enter your description here. Maybe just paste in the call for papers.''

Difference between revisions of "ECML PKDD 2018"

Latest revision as of 03:53, 6 December 2021

Event Rating

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