Now showing items 1-4 of 4

  • Detecting sentiment change in Twitter streaming data

    Bifet, Albert; Holmes, Geoffrey; Pfahringer, Bernhard; Gavaldà, Ricard (JMLR, 2011)
    MOA-TweetReader is a real-time system to read tweets in real time, to detect changes, and to find the terms whose frequency changed. Twitter is a micro-blogging service built to discover what is happening at any moment in ...
  • Improving adaptive bagging methods for evolving data streams

    Bifet, Albert; Holmes, Geoffrey; Pfahringer, Bernhard; Gavaldà, Ricard (Springer, 2009)
    We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (ASHT) Bagging. ASHT Bagging uses trees of ...
  • Mining frequent closed graphs on evolving data streams

    Bifet, Albert; Holmes, Geoffrey; Pfahringer, Bernhard; Gavaldà, Ricard (ACM, 2011)
    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, Albert; Holmes, Geoffrey; Pfahringer, Bernhard; Kirkby, Richard Brendon; Gavaldà, Ricard (ACM, 2009)
    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 ...

Ricard Gavaldà has 4 co-authors in Research Commons.