GraDES-NDA 2019: joint international workshop on graph data management experiences & systems and network data analytics

Akhil Arora; Arnab Bhattacharya; George Fletcher

doi:10.1145/3299869.3323667

GraDES-NDA 2019: joint international workshop on graph data management experiences & systems and network data analytics

Akhil Arora, Arnab Bhattacharya, George Fletcher

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

Samenvatting

GRADES-NDA 2019 is the second joint meeting of the GRADES and NDA workshops, which were each independently organized at previous SIGMOD-PODS meetings, GRADES since 2013 and NDA since 2016. The focus of GRADES-NDA is the application areas, usage scenarios, and open challenges in managing large-scale graph-shaped data. To summarize, GRADES-NDA aims to present technical contributions inside graph, RDF, and other data management systems on massive graphs.

Originele taal-2	Engels
Titel	SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data
Plaats van productie	New York
Uitgeverij	Association for Computing Machinery, Inc
Pagina's	2064-2065
Aantal pagina's	2
ISBN van elektronische versie	978-1-4503-5643-5
DOI's	https://doi.org/10.1145/3299869.3323667
Status	Gepubliceerd - 25 jun 2019
Evenement	2019 International Conference on Management of Data, SIGMOD 2019 - Amsterdam, Nederland Duur: 30 jun 2019 → 5 jul 2019

Congres

Congres	2019 International Conference on Management of Data, SIGMOD 2019
Land	Nederland
Stad	Amsterdam
Periode	30/06/19 → 5/07/19

Toegang tot document

10.1145/3299869.3323667

Link to publication in Scopus

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Citeer dit

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title = "GraDES-NDA 2019: joint international workshop on graph data management experiences & systems and network data analytics",

abstract = "GRADES-NDA 2019 is the second joint meeting of the GRADES and NDA workshops, which were each independently organized at previous SIGMOD-PODS meetings, GRADES since 2013 and NDA since 2016. The focus of GRADES-NDA is the application areas, usage scenarios, and open challenges in managing large-scale graph-shaped data. To summarize, GRADES-NDA aims to present technical contributions inside graph, RDF, and other data management systems on massive graphs.",

keywords = "Big Data, Data mining, Graph data management, Machine learning, Network shaped data, Systems",

author = "Akhil Arora and Arnab Bhattacharya and George Fletcher",

year = "2019",

month = jun,

day = "25",

doi = "10.1145/3299869.3323667",

language = "English",

pages = "2064--2065",

booktitle = "SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = "2019 International Conference on Management of Data, SIGMOD 2019 ; Conference date: 30-06-2019 Through 05-07-2019",

}

Arora, A, Bhattacharya, A & Fletcher, G 2019, GraDES-NDA 2019: joint international workshop on graph data management experiences & systems and network data analytics. in SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data. Association for Computing Machinery, Inc, New York, blz. 2064-2065, 2019 International Conference on Management of Data, SIGMOD 2019, Amsterdam, Nederland, 30/06/19. https://doi.org/10.1145/3299869.3323667

GraDES-NDA 2019 : joint international workshop on graph data management experiences & systems and network data analytics. / Arora, Akhil; Bhattacharya, Arnab; Fletcher, George.

SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data. New York : Association for Computing Machinery, Inc, 2019. blz. 2064-2065.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AB - GRADES-NDA 2019 is the second joint meeting of the GRADES and NDA workshops, which were each independently organized at previous SIGMOD-PODS meetings, GRADES since 2013 and NDA since 2016. The focus of GRADES-NDA is the application areas, usage scenarios, and open challenges in managing large-scale graph-shaped data. To summarize, GRADES-NDA aims to present technical contributions inside graph, RDF, and other data management systems on massive graphs.

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