• A machine learning approach to predicting a basketball game outcome 

      Poch Alonso, Roger (Universitat Politècnica de Catalunya, 2019-10-25)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      Realitzat a/amb:   Sveučilište u Zagrebu
    • Applying sentiment analysis for detection of cyberbullying in Twitter 

      Pérez García, Alba (Universitat Politècnica de Catalunya, 2019-05-31)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      Realitzat a/amb:   University of Derby
      El proyecto pretende comparar técnicas de Sentiment Analysis para detectar contenido dañino en tweets extraídos de Twitter usando R. Se aplican tres técnicas supervisadas de machine learning: SVM lineal, SVM kernel y Naive ...
    • Browsing Behavior : Tracking Users on the Internet 

      Brosa I Hernández, Lluís (Universitat Politècnica de Catalunya, 2022-07-13)
      Projecte Final de Màster Oficial
      Accés obert
      Web tracking databases usually use pseudonyms to identify subjects. It has been proven that subjects web behaviour has enough information to identify them. In this thesis, we attempted to retrieve this identifying data ...
    • Comparison of automatic classifiers'performances using word-based feature extraction techniques in an e-government setting 

      Marin Rodenas, Alfonso (Universitat Politècnica de Catalunya / Kungl. Tekniska högskolan (Estocolm), 2011-01)
      Projecte/Treball Final de Carrera
      Accés obert
      Realitzat a/amb:   Kungliga Tekniska högskolan
      Nowadays email is commonly used by citizens to establish communication with their government. On the received emails, governments deal with some common queries and subjects which some handling officers have to manually ...
    • Inferring latent user attributes in streams on multimodal social data using spark 

      Conese, Alessio (Universitat Politècnica de Catalunya, 2015-04-29)
      Projecte Final de Màster Oficial
      Accés obert
      The principal goal of this work can be expressed in two simple words Apache Spark; basically this framework help a developer to deal with big data. Our scope is to understand how Spark operates and use it to deal with Big ...
    • Machine Learning for malware detection and classification 

      Bruna Moralejo, Lourdes (Universitat Politècnica de Catalunya, 2023-07-03)
      Projecte Final de Màster Oficial
      Accés obert
      Malware is any intrusive program that exploits system vulnerabilities on a computing system. A malware infection can be disastrous for any organization. It can cripple networks and systems, as well as destroy, delete, ...
    • Naive Bayes and exemplar-based approaches to word sense disambiguation revisited 

      Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German (2000-02)
      Report de recerca
      Accés obert
      This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar--based classification, on the Word Sense Disambiguation (WSD) problem. The aim of the ...
    • Performance analysis and optimization of a distributed processing framework for data mining accelerated with graphics processing units 

      Leon Saiki, Edgar Isaac Hiroshi (Universitat Politècnica de Catalunya, 2014-09-05)
      Projecte Final de Màster Oficial
      Accés obert
      In this age, a huge amount of data is generated every day by human interactions with services. Discovering the patterns of these data are very important to take business decisions. Due to the size of this data, it requires ...