License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.3.6.67
URN: urn:nbn:de:0030-drops-42580
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4258/
Andrzejak, Artur ;
Giesen, Joachim ;
Ramakrishnan, Raghu ;
Stoica, Ion
Weitere Beteiligte (Hrsg. etc.): Artur Andrzejak and Joachim Giesen and Raghu Ramakrishnan and Ion Stoica
Parallel Data Analysis (Dagstuhl Seminar 13251)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 13251 "Parallel Data Analysis" which was held in Schloss Dagstuhl - Leibniz Center for Informatics from June 16th 2013 to June 21st 2013. During the seminar, participants presented their current research and ongoing work, and open problems were discussed. The first part of this document describes seminar goals and topics, while the remainder gives an overview of the contents discussed during this event. Abstracts of a subset of the presentations given during the seminar are put together in this paper. Links to extended abstracts or full papers are provided, if available.
BibTeX - Entry
@Article{andrzejak_et_al:DR:2013:4258,
author = {Artur Andrzejak and Joachim Giesen and Raghu Ramakrishnan and Ion Stoica},
title = {{Parallel Data Analysis (Dagstuhl Seminar 13251)}},
pages = {67--82},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2013},
volume = {3},
number = {6},
editor = {Artur Andrzejak and Joachim Giesen and Raghu Ramakrishnan and Ion Stoica},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2013/4258},
URN = {urn:nbn:de:0030-drops-42580},
doi = {10.4230/DagRep.3.6.67},
annote = {Keywords: data analysis, machine learning, parallel processing, distributed computing, software frameworks}
}
Keywords: |
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data analysis, machine learning, parallel processing, distributed computing, software frameworks |
Collection: |
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Dagstuhl Reports, Volume 3, Issue 6 |
Issue Date: |
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2013 |
Date of publication: |
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29.10.2013 |