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  5. Coding Theory in the Time of Big Data (Dagstuhl Seminar 16321)
 
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Coding Theory in the Time of Big Data (Dagstuhl Seminar 16321)

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Editor(s)
Bossert, Martin 
Byrne, Eimear 
Soljanin, Emina 
Uri
http://hdl.handle.net/10197/9029
Date Issued
12 December 2016
Date Available
06T11:40:31Z November 2017
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16321 “Coding Theory in the Time of Big Data”. The overarching technical theme was on how fundamentals of coding theory could be applied to data storage and transmission in the context of big data and conversely, on new problems in coding theory arising from such applications.
Type of Material
Journal Article
Publisher
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Journal
Dagstuhl Reports
Volume
6
Issue
8
Start Page
1
End Page
20
Keywords
  • Coding theory

  • Distributed storage

  • Network coding

  • Age of information

  • Rank metric code

  • Codes in cryptography...

  • Index coding

Web versions
http://drops.dagstuhl.de/opus/institut_dagrep.php
Language
English
Status of Item
Peer reviewed
ISSN
2192-5283
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Mathematics and Statistics Research Collection
Views
967
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Acquisition Date
Jan 29, 2023
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256
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Acquisition Date
Jan 29, 2023
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