License
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.6.8.1
URN: urn:nbn:de:0030-drops-68370
URL: http://drops.dagstuhl.de/opus/volltexte/2016/6837/
Go back to Dagstuhl Reports


Bossert, Martin ; Byrne, Eimear ; Soljanin, Emina
Weitere Beteiligte (Hrsg. etc.): Martin Bossert and Eimear Byrne and Emina Soljanin

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

pdf-format:
dagrep_v006_i008_p001_s16321.pdf (0.9 MB)


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.

BibTeX - Entry

@Article{bossert_et_al:DR:2016:6837,
  author =	{Martin Bossert and Eimear Byrne and Emina Soljanin},
  title =	{{Coding Theory in the Time of Big Data (Dagstuhl Seminar 16321)}},
  pages =	{1--20},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{8},
  editor =	{Martin Bossert and Eimear Byrne and Emina Soljanin},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6837},
  URN =		{urn:nbn:de:0030-drops-68370},
  doi =		{10.4230/DagRep.6.8.1},
  annote =	{Keywords: Algebraic coding theory, Caching problems, Coding theory, Complexity theory, Cryptography, Distributed storage, Error-correction, Index coding, }
}

Keywords: Algebraic coding theory, Caching problems, Coding theory, Complexity theory, Cryptography, Distributed storage, Error-correction, Index coding,
Freie Schlagwörter (englisch): Information theory, Randomized algorithms, Streaming algorithms
Seminar: Dagstuhl Reports, Volume 6, Issue 8
Issue Date: 2016
Date of publication: 09.12.2016


DROPS-Home | Fulltext Search | Imprint Published by LZI