• Detecting sentiment change in twitter streaming data 

      Bifet Figuerol, Albert Carles; Holmes, Geoffrey; Pfahringer, Bernhard; Gavaldà Mestre, Ricard (2011)
      Text en actes de congrés
      Accés obert
      MOA-TweetReader is a real-time system to read tweets in real time, to detect changes, and to fi nd the terms whose frequency changed. Twitter is a micro-blogging service built to discover what is happening at any moment ...
    • Mining frequent closed graphs on evolving data streams. 

      Bifet Figuerol, Albert Carles; Holmes, Geoff; Pfahringer, Bernhard; Gavaldà Mestre, Ricard (ACM Press, NY, 2011)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Graph mining is a challenging task by itself, and even more so when processing data streams which evolve in real-time. Data stream mining faces hard constraints regarding time and space for processing, and also needs to ...
    • New ensemble methods for evolving data streams 

      Bifet Figuerol, Albert Carles; Holmes, Geoffrey; Pfahringer, Bernhard; Kirkby, R; Gavaldà Mestre, Ricard (Association for Computing Machinery (ACM), 2009)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such data streams evolve over time, that is ...
    • teex: a toolbox for the evaluation of explanations 

      Antoñanzas Acero, Jesús Maria; Jia, Yunzhe; Frank, Eibe; Bifet Figuerol, Albert Carles; Pfahringer, Bernhard (Elsevier, 2023-10-28)
      Article
      Accés obert
      We present teex, a Python toolbox for the evaluation of explanations. teex focuses on the evaluation of local explanations of the predictions of machine learning models by comparing them to ground-truth explanations. It ...