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Coding Theory in the Time of Big Data (Dagstuhl Seminar 16321)
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| File | Size | Format | |
|---|---|---|---|
| Download | dagrep_v006_i008_pXXX_s16321.pdf | 531.94 kB | Adobe PDF |
| 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 theory; Distributed storage; Network coding; Age of information; Rank metric code; Codes in cryptography; Index 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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