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Conference papers
Efficient similarity-based alignment of temporally-situated graph nodes with Apache Spark
Hubert Naacke 1
Mail :
Author IdHAL : hubert-naacke ORCID : https://orcid.org/0000-0003-0559-9908
Ke Li 1
Mail :
Author Employer institution : Sorbonne Université
Bernd Amann 1
Mail :
Author IdHAL : bernd-amann ORCID : https://orcid.org/0000-0002-6822-4049
Olivier Curé 2
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Author Employer institution : Université Paris-Est IdHAL : olivier-cure
1
BD - Bases de Données (France)
- LIP6 (4 Place JUSSIEU 75252 PARIS CEDEX 05 - France)
- SU - Sorbonne Université (21 rue de l’École de médecine - 75006 Paris - France)
- CNRS - Centre National de la Recherche Scientifique : UMR7606 (France)
2
ligm - Laboratoire d'Informatique Gaspard-Monge (Université de Paris-Est Marne-la-Vallée, Cité Descartes, Bâtiment Copernic, 5 bd Descartes, 77454 Marne-la-Vallée Cedex 2 - France)
- CNRS - Centre National de la Recherche Scientifique : UMR8049 (France)
- Fédération de Recherche Bézout (France)
- ESIEE Paris (2 boulevard Blaise Pascal Cité Descartes BP 99 93162 Noisy-le-Grand Cedex - France)
- ENPC - École des Ponts ParisTech (École des Ponts ParisTech 6-8 avenue Blaise-Pascal Cité Descartes 77455 Champs-sur-Marne Marne-la-Vallée cedex 2 - France)
- UPEM - Université Paris-Est Marne-la-Vallée (5 boulevard Descartes - Champs-sur-Marne - 77454 Marne-la-Vallée Cedex 2 - France)
Document type :
Conference papers
Complete list of metadatas
https://hal.sorbonne-universite.fr/hal-02444359
Contributor : Hubert Naacke <>
Submitted on : Friday, January 17, 2020 - 5:50:06 PM
Last modification on : Tuesday, March 3, 2020 - 6:54:28 PM
Contributor : Hubert Naacke <>
Submitted on : Friday, January 17, 2020 - 5:50:06 PM
Last modification on : Tuesday, March 3, 2020 - 6:54:28 PM
Identifiers
- HAL Id : hal-02444359, version 1
Collections
SORBONNE-UNIVERSITE | ESIEE-PARIS | UPEC-UPEM | ENPC | PARISTECH | LIP6 | CNRS | SU-SCIENCES | LIGM | LIGM_MOA
Citation
Hubert Naacke, Ke Li, Bernd Amann, Olivier Curé. Efficient similarity-based alignment of temporally-situated graph nodes with Apache Spark. IEEE International Conference on Big Data, High Performance Big Graph Data Management, Analysis, and Mining, Dec 2019, Los Angeles, United States. ⟨hal-02444359⟩
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