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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)

Editor(s)
Bossert, Martin  
Byrne, Eimear  
Soljanin, Emina  
Uri
http://hdl.handle.net/10197/9029
Date Issued
2016-12-12
Date Available
2017-11-06T11:40:31Z
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
Subjects

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/
File(s)
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dagrep_v006_i008_pXXX_s16321.pdf

Size

531.94 KB

Format

Adobe PDF

Checksum (MD5)

2a1ed74fc1003bd474e0bc8cdfb6379c

Owning collection
Mathematics and Statistics Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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