IEEE BigData

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Event series

IEEE BigData
IEEE International Conference on Big Data
Categories: Databases
wikidataIdThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in Wikidata. Its external formatter URI is https://www.wikidata.org/entity/$1.</br>In Open Research it is mostly used to identify an academic event or event series within Wikidata. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.:	Q27726229
Scholia:	https://scholia.toolforge.org/event-series/Q27726229
Avg. acceptance rate:	0
Avg. acceptance rate (last 5 years):	0
Table of Contents

IEEE International Conference on Big Data (IEEE BigData) has an average acceptance rate of 0% (last 5 years 0%).

Events

There are 4 events of the series IEEE BigData known to this wiki: IEEE BigData 2017, IEEE BigData 2018, IEEE BigData 2019, IEEE BigData 2020

	OrdinalThis property of the datatype Number represents the ordinal number of an event within an event series. Thereby it informs about the age of an event series. This property is not needed for the DOI registration process via DataCite and is optional.	Year	FromThis property is of the datatype Date and it is being used to provide the start date of an academic event or a project.</br>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.	ToThis property is of the datatype Date and it is being used to provide the end date of an academic event or a project.</br>This property is aligned with icaltzd:dtend.</br>It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.	CityThe property Has location city can be used to specify the city where a street, building, event, etc. is located in.</br>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.</br>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.	CountryThe property Has location country is used to describe the country where something is located in.</br>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.</br>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.	presence	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.</br>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.	TibKatId	GNDThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in the Integrated_Authority_File (GND). Its external formatter URI is http://d-nb.info/gnd/$1.</br>In Open Research it is mostly used to identify an academic event or event series within the GND. </br>The use of this property is optional.</br>It is not necessary for the DOI registration process via DataCite.	dblpThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in dblp. Its external formatter URI is https://dblp2.uni-trier.de/db/conf/$1.</br>In Open Research it is mostly used to identify an academic event within dblp. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.	WikiCFPThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in WikiCFP. Its external formatter URI is http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=$1.</br>In Open Research it is used to identify an academic event or event series within WikiCFP. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.	WikidataThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in Wikidata. Its external formatter URI is https://www.wikidata.org/entity/$1.</br>In Open Research it is mostly used to identify an academic event or event series within Wikidata. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.
IEEE BigData 2020		2020	Dec 10	Dec 13	US/GA/Atlanta	US		http://bigdataieee.org/BigData2020/
IEEE BigData 2019		2019	Dec 9	Dec 12	US/CA/Los Angeles	US		http://bigdataieee.org/BigData2019/
IEEE BigData 2018		2018	Dec 10	Dec 13	US/WA/Seattle	US		https://cci.drexel.edu/bigdata/bigdata2018/
IEEE BigData 2017		2017	Dec 11	Dec 14	US/MA/Boston	US		http://cci.drexel.edu/bigdata/bigdata2017/

Locations

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In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data.

The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data.

   The first conference IEEE Big Data 2013 (regular paper acceptance rate: 17.0%) was held in Santa Clara, CA from Oct 6-9, 2013 with more than 400 registered participants from 40 countries.

registered participants from 45 countries.

   The IEEE Big Data 2015 (regular paper acceptance rate: 16.8%) was held in Santa Clara, Oct 29-Nov 1, 2015 with more than 780 registered participants from 49 countries.
   The IEEE Big Data 2016 (regular paper acceptance rate: 18.7%) was held in Washington DC, Dec 5-8, 2016 with close to 900 registered participants from 43 countries.
   The IEEE Big Data 2017 (regular paper acceptance rate: 17.8%) was held in Boston, MA, Dec 11-14, 2017 with close to 1000 registered participants from 50 countries.
   The IEEE Big Data 2018 (regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13, 2018 with close to 1100 registered participants from 47 countries.   
The IEEE Big Data 2014 (regular paper acceptance rate: 18.5.0%) was held in Washington DC, Oct 27-30, 2014 with more than 600