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Realtime data mining: self-learning techniques for recommendation engines
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2013
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-01321-3 http://cds.cern.ch/record/1642218 |
_version_ | 1780934924106203136 |
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author | Paprotny, Alexander Thess, Michael |
author_facet | Paprotny, Alexander Thess, Michael |
author_sort | Paprotny, Alexander |
collection | CERN |
id | cern-1642218 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Springer |
record_format | invenio |
spelling | cern-16422182021-04-21T21:22:58Zdoi:10.1007/978-3-319-01321-3http://cds.cern.ch/record/1642218engPaprotny, AlexanderThess, MichaelRealtime data mining: self-learning techniques for recommendation enginesMathematical Physics and MathematicsSpringeroai:cds.cern.ch:16422182013 |
spellingShingle | Mathematical Physics and Mathematics Paprotny, Alexander Thess, Michael Realtime data mining: self-learning techniques for recommendation engines |
title | Realtime data mining: self-learning techniques for recommendation engines |
title_full | Realtime data mining: self-learning techniques for recommendation engines |
title_fullStr | Realtime data mining: self-learning techniques for recommendation engines |
title_full_unstemmed | Realtime data mining: self-learning techniques for recommendation engines |
title_short | Realtime data mining: self-learning techniques for recommendation engines |
title_sort | realtime data mining: self-learning techniques for recommendation engines |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-01321-3 http://cds.cern.ch/record/1642218 |
work_keys_str_mv | AT paprotnyalexander realtimedataminingselflearningtechniquesforrecommendationengines AT thessmichael realtimedataminingselflearningtechniquesforrecommendationengines |