• A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic 

    Carela Español, Valentín; Barlet Ros, Pere; Bifet Figuerol, Albert Carles; Fukuda, Kensuke (2016-10)
    Article
    Accés obert
    The continuous evolution of Internet traffic and its applications makes the classification of network traffic a topic far from being completely solved. An essential problem in this field is that most of proposed techniques ...
  • Adaptive Learning and Mining for Data Streams and Frequent Patterns 

    Bifet Figuerol, Albert Carles (Universitat Politècnica de Catalunya, 2009-04-24)
    Tesi
    Accés obert
    Aquesta tesi està dedicada al disseny d'algorismes de mineria de dades per fluxos de dades que evolucionen en el temps i per l'extracció d'arbres freqüents tancats. Primer ens ocupem de cadascuna d'aquestes tasques per ...
  • Adaptive parameter-free learning from evolving data streams 

    Bifet Figuerol, Albert Carles; Gavaldà Mestre, Ricard (2009-03)
    Report de recerca
    Accés obert
    We propose and illustrate a method for developing algorithms that can adaptively learn from data streams that change over time. As an example, we take Hoeffding Tree, an incremental decision tree inducer for data streams, ...
  • An analysis of factors used in search engine ranking 

    Bifet Figuerol, Albert Carles; Castillo, Carlos; Chirita, Paul-Alexandru; Weber, Ingmar (2005)
    Text en actes de congrés
    Accés obert
    This paper investigates the influence of different page features on the ranking of search engine results. We use Google (via its API) as our testbed and analyze the result rankings for several queries of different categories ...
  • An analysis of factors used in search engine ranking 

    Bifet Figuerol, Albert Carles; Castillo, Carlos; Chirita, Paul-Alexandru; Weber, Ingmar (2005-09)
    Report de recerca
    Accés obert
    This paper investigates the influence of different page features on the ranking of search engine results. We use Google (via its API) as our testbed and analyze the result rankings for several queries of different categories ...
  • An efficient closed frequent itemset miner for the MOA stream mining system 

    Quadrana, Massimo; Bifet Figuerol, Albert Carles; Gavaldà Mestre, Ricard (2015-01-07)
    Article
    Accés obert
    Mining itemsets is a central task in data mining, both in the batch and the streaming paradigms. While robust, efficient, and well-tested implementations exist for batch mining, hardly any publicly available equivalent ...
  • 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 ...
  • Mining frequent closed rooted trees 

    Balcázar Navarro, José Luis; Bifet Figuerol, Albert Carles; Lozano Bojados, Antoni (2010-01)
    Article
    Accés obert
    Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There exists a well-studied process of closure-based ...