New Textbook Applies Mathematics to the Management of Big Data
Mathematics of Big Data is the first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.
Format: | Article |
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Language: | en_US |
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MIT Lincoln Laboratory
2020
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Online Access: | https://hdl.handle.net/1721.1/128114 |
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collection | MIT |
description | Mathematics of Big Data is the first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. |
first_indexed | 2024-09-23T09:04:07Z |
format | Article |
id | mit-1721.1/128114 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T09:04:07Z |
publishDate | 2020 |
publisher | MIT Lincoln Laboratory |
record_format | dspace |
spelling | mit-1721.1/1281142020-10-20T03:31:02Z New Textbook Applies Mathematics to the Management of Big Data Lincoln Laboratory Supercomputing LLSC Information Sciences Mathematics of Big Data is the first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. 2020-10-19T18:46:28Z 2020-10-19T18:46:28Z 2018-08-10 Article https://hdl.handle.net/1721.1/128114 en_US The Bulletin; Attribution-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nd/3.0/us/ application/pdf MIT Lincoln Laboratory |
spellingShingle | Lincoln Laboratory Supercomputing LLSC Information Sciences New Textbook Applies Mathematics to the Management of Big Data |
title | New Textbook Applies Mathematics to the Management of Big Data |
title_full | New Textbook Applies Mathematics to the Management of Big Data |
title_fullStr | New Textbook Applies Mathematics to the Management of Big Data |
title_full_unstemmed | New Textbook Applies Mathematics to the Management of Big Data |
title_short | New Textbook Applies Mathematics to the Management of Big Data |
title_sort | new textbook applies mathematics to the management of big data |
topic | Lincoln Laboratory Supercomputing LLSC Information Sciences |
url | https://hdl.handle.net/1721.1/128114 |