Now showing items 1-14 of 14

    • 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
      Open Access
      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)
      Doctoral thesis
      Open Access
      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)
      External research report
      Open Access
      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)
      Conference report
      Open Access
      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)
      External research report
      Open Access
      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
      Open Access
      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 ...
    • An efficient closed frequent itemset miner for the MOA stream mining system 

      Quadrana, Massimo; Bifet Figuerol, Albert Carles; Gavaldà Mestre, Ricard (2013)
      External research report
      Open Access
      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 ...
    • Data stream classification using random feature functions and novel method combinations 

      Marrón Vida, Diego; Read, Jesse; Bifet Figuerol, Albert Carles; 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 ...
    • 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 ...
    • Echo state hoeffding tree learning 

      Marrón Vida, Diego; Read, Jesse; Bifet Figuerol, Albert Carles; 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 Figuerol, Albert Carles (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 ...
    • Mining frequent closed graphs on evolving data streams. 

      Bifet Figuerol, Albert Carles; Holmes, Geoff; Pfahringer, Bernhard; Gavaldà Mestre, Ricard (ACM Press, NY, 2011)
      Conference report
      Restricted access - publisher's policy
      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
      Open Access
      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 ...
    • 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 ...