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pro vyhledávání: '"Marrón Vida, Diego"'
Autor:
Marrón Vida, Diego
Publikováno v:
TDX (Tesis Doctorals en Xarxa)
TDR. Tesis Doctorales en Red
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
TDR. Tesis Doctorales en Red
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
High-throughput real-time Big Data stream processing requires fast incremental algorithms that keep models consistent with most recent data. In this scenario, Hoeffding Trees are considered the state-of-the-art single classifier for processing data s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7ffb87b6bcd22e0873628a3bb5c6a82a
http://hdl.handle.net/10803/668371
http://hdl.handle.net/10803/668371
Autor:
Marrón Vida, Diego, Read, Jesse, Bifet Figuerol, Albert Carles, Abdessalem, Talel, Ayguadé Parra, Eduard|||0000-0002-5146-103X, Herrero Zaragoza, José Ramón|||0000-0002-4060-367X
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Nowadays, real-time classi cation of Big Data streams is becoming essential in a variety of application domains. While decision trees are powerful and easy{to{deploy approaches for accurate and fast learning from data streams, they are unable to capt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b117c8680d6580e50fb8a59dbaf6f7c6
http://hdl.handle.net/2117/97868
http://hdl.handle.net/2117/97868