• Data stream classification using random feature functions and novel method combinations 

      Marrón Vida, Diego; Read, Jesse; Bifet Figuerol, Albert Carles; Navarro, Nacho (2017-05-01)
      Article
      Accés obert
      Big Data streams are being generated in a faster, bigger, and more commonplace. In this scenario, Hoeffding Trees are an established method for classification. Several extensions exist, including high performing ensemble ...
    • Echo state hoeffding tree learning 

      Marrón Vida, Diego; Read, Jesse; Bifet Figuerol, Albert Carles; Abdessalem, Talel; Ayguadé Parra, Eduard; Herrero Zaragoza, José Ramón (Microtome Publishing, 2016)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      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 ...
    • Low-latency multi-threaded ensemble learning for dynamic big data streams 

      Marron, Diego; Ayguadé Parra, Eduard; Herrero Zaragoza, José Ramón; Read, Jesse; Bifet Figuerol, Albert Carles (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Text en actes de congrés
      Accés obert
      Real–time mining of evolving data streams involves new challenges when targeting today’s application domains such as the Internet of the Things: increasing volume, velocity and volatility requires data to be processed ...