Now showing items 1-3 of 3

    • 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
      Open Access
      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)
      Conference report
      Restricted access - publisher's policy
      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)
      Conference report
      Open Access
      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 ...