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

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Title: Coding Theory in the Time of Big Data (Dagstuhl Seminar 16321)
Editors: Bossert, Martin; Byrne, Eimear; Soljanin, Emina
Permanent link: http://hdl.handle.net/10197/9029
Date: 12-Dec-2016
Online since: 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
Keywords: Coding theoryDistributed storageNetwork codingAge of informationRank metric codeCodes in cryptographyIndex coding
Other versions: http://drops.dagstuhl.de/opus/institut_dagrep.php
Language: en
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/
Appears in Collections:Mathematics and Statistics Research Collection

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