Now showing items 1-3 of 3

  • Detecting sentiment change in twitter streaming data 

    Bifet Figuerol, Albert Carles; Holmes, Geoffrey; Pfahringer, Bernhard; Gavaldà Mestre, Ricard (2011)
    Conference report
    Open Access
    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 ...
  • 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)
    Conference report
    Restricted access - publisher's policy
    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 ...
  • Which method to use? An assessment of data mining methods in Environmental Data Science 

    Gibert, Karina; Izquierdo Sebastián, Joaquín; Sànchez-Marrè, Miquel; Hamilton, Serena H.; Rodriguez Roda, Ignasi; Holmes, Geoffrey (Elsevier, 2018-12)
    Restricted access - publisher's policy
    Data Mining (DM) is a fundamental component of the Data Science process. Over recent years a huge library of DM algorithms has been developed to tackle a variety of problems in fields such as medical imaging and traffic ...