Now showing items 1-3 of 3

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

    Marrón Vida, Diego; Read, Jesse; Bifet, Albert; 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, Albert; 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, Albert (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 ...