Difference between revisions of "KDD 2019"

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Revision as of 23:18, 24 October 2021

Event Rating

median	worst

List of all ratings can be found at KDD 2019/rating

KDD 2019
25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Event in series	KDD
Dates	2019/08/04 (iCal) - 2019/08/08
Homepage:	https://www.kdd.org/kdd2019/
Submitting link:	https://www.kdd.org/kdd2019/Calls/view/kdd-2019-call-for-research-papers
Location
Location:	Anchorage, Alaska, USA
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Important dates
Submissions:	2019/02/03
Notification:	2019/04/28
Camera ready due:	2019/05/17

Registration link:	https://www.kdd.org/kdd2019/attending/registration
Early bird student:	$ 490 / {{{Early bird fee reduced}}} (reduced)
On site student:	$ 590 / {{{On site fee reduced}}} (reduced)
Early bird regular:	$ 1090
On site regular:	$ 1215
Papers:	Submitted 526 / Accepted 169 (32.1 %)
Committees
General chairs:	Vipin Kumar, Ankur Teredesai
PC chairs:	George Karypis, Evimaria Terzi, Ying Li, Romer Rosales
Workshop chairs:	Anuj Karpatne, Jing Gao
Seminars Chair:	Leman Akoglu, Danai Koutra
Keynote speaker:	Peter Lee, Cynthia Rudin
Table of Contents
Contents 1 Event Rating

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Acceptance rate

32.1 +

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.

KDD 2019 +

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.

August 8, 2019 +

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.

KDD +

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/AK/Anchorage +

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

2019 +

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.

https://www.kdd.org/kdd2019/ +

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.

August 4, 2019 +

@@ Line 1: / Line 1: @@
 {{Event
+|Acronym=KDD 2019
+|Title=25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
+|Series=KDD
+|Type=Conference
 |Field=data science
+|Start date=2019/08/04
+|End date=2019/08/08
+|Homepage=https://www.kdd.org/kdd2019/
+|City=Anchorage
+|State=Alaska
+|Country=USA
 |Submission deadline=2019/02/03
 |Notification=2019/04/28
@@ Line 16: / Line 26: @@
 |Early bird student=490
 |Registration link=https://www.kdd.org/kdd2019/attending/registration
-|Acronym        =KDD 2019
+|Submitted papers=526
-|End date       =2019/08/08
-|Series         =KDD
-|Type           =Conference
-|Country        =US
-|State          =US/AK
-|City           =US/AK/Anchorage
-|Homepage       =https://www.kdd.org/kdd2019/
-|Start date     =2019/08/04
-|Title          =25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
 |Accepted papers=169
-|Submitted papers=526
 }}
 ''Enter your description here. Maybe just paste in the call for papers.''

Difference between revisions of "KDD 2019"

Revision as of 23:18, 24 October 2021

Event Rating

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