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.
@Article{bossert_et_al:DagRep.6.8.1, author = {Bossert, Martin and Byrne, Eimear and Soljanin, Emina}, 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 = {Bossert, Martin and Byrne, Eimear and Soljanin, Emina}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.8.1}, 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, Information theory, Randomized algorithms, Streaming algorithms} }
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