Now showing items 1-20 of 272

  • A catallactic market for data mining services. 

    Joita, Liviu; Rana, Omer; Freitag, Fèlix; Chao, Isaac; Chacín Martínez, Pablo; Navarro Moldes, Leandro; Ardáiz Villanueva, Óscar (2007)
    Article
    Open Access
    We describe a Grid market for exchanging data mining services based on the Catallactic market mechanism proposed by von Hayek. This market mechanism allows selection between multiple instances of services based on operations ...
  • A comprehensive scenario agnostic Data LifeCycle model for an efficient data complexity management 

    Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    There is a vast amount of data being generated every day in the world, coming from a variety of sources, with different formats, quality levels, etc. This new data, together with the archived historical data, constitute ...
  • ACon: A learning-based approach to deal with uncertainty in contextual requirements at runtime 

    Knauss, Alessia; Damian, Daniela; Franch Gutiérrez, Javier; Rook, Angela; Müller, Haussi A.; Thomo, Alex (2016-02)
    Article
    Open Access
    Context: Runtime uncertainty such as unpredictable operational environment and failure of sensors that gather environmental data is a well-known challenge for adaptive systems. Objective: To execute requirements that ...
  • Adaptive monitoring: A systematic mapping 

    Zavala, Edith; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Elsevier, 2019-01)
    Article
    Restricted access - publisher's policy
    Context: Adaptive monitoring is a method used in a variety of domains for responding to changing conditions. It has been applied in different ways, from monitoring systems’ customization to re-composition, in different ...
  • 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, ...
  • Adaptive sampling methods for scaling up knowledge discovery algorithms 

    Domingo Soriano, Carlos; Gavaldà Mestre, Ricard; Watanabe, Osamu (2001-07)
    External research report
    Open Access
    One of the biggest research challenges in KDD and Data Mining is to develop methods that scale up well to large amounts of data. A possible approach for achieving scalability is to take a random sample and do data mining ...
  • A Data LifeCycle model for smart cities 

    Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva; Yin, Xuefeng; Wang, Chao (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Conference report
    Open Access
    Smart Cities are the most challenging and promising technological solutions for absorbing the increasing pressure of population growth, while simultaneously enforcing a sustainable economic progress as well as a higher ...
  • Adding meaning to Facebook microposts via a mash-up API and tracking its data provenance 

    Steiner, Thomas; Verborgh, Ruben; Gabarró Vallès, Joaquim; Van de Walle, Rik (IEEE Computer Society Publications, 2011)
    Conference lecture
    Open Access
    The social networking website Facebook offers to its users a feature called “status updates” (or just “status”), which allows users to create microposts directed to all their contacts, or a subset thereof. Readers can ...
  • A distributed hybrid index for processing continuous range queries over moving objects 

    Yu, Ziqiang; Xhafa Xhafa, Fatos; Chen, Yuehui; Ma, Kun (Springer, 2019-05)
    Article
    Open Access
    Central to many location-based services is the problem of processing concurrent continuous range queries over a large scale of moving objects. Most relevant works to this problem mainly investigate the centralized search ...
  • AETAS: A system for semanticizing temporal expressions from unstructured contents 

    Ardalan, Zagros; Martín Escofet, Carme; Padró, Lluís (Springer, 2015)
    Conference report
    Restricted access - publisher's policy
    AETAS is an online tool for converting text into RDF linked data with resolution of temporal expressions. AETAS follows fully SOA architecture and is accessible via web-service. It implements a novel approach for semantic ...
  • A framework for building OLAP cubes on graphs 

    Ghrab, Amine; Romero Moral, Óscar; Skhiri, Sabri; Vaisman, Alejandro; Zimányi, Esteban (Springer, 2015)
    Conference report
    Open Access
    Graphs are widespread structures providing a powerful abstraction for modeling networked data. Large and complex graphs have emerged in various domains such as social networks, bioinformatics, and chemical data. However, ...
  • A framework for online conformance checking 

    Burattin, Andrea; Carmona Vargas, Josep (Springer, 2017)
    Conference report
    Open Access
    Conformance checking – a branch of process mining – focuses on establishing to what extent actual executions of a process are in line with the expected behavior of a reference model. Current conformance checking techniques ...
  • Aircraft conflict detection using data mining and statistical tools 

    Perez Font, Marc (Universitat Politècnica de Catalunya, 2016-10-28)
    Bachelor thesis
    Open Access
    Nowadays and taking into account the different indicators and the forecast of the air traffic volume from Eurocontrol, it is accepted the idea that the traffic will be doubled by 2030, that is why it is so important ...
  • A lattice-based method for structural analysis 

    Casas Garriga, Gemma; Díaz López, Pablo; Balcázar Navarro, José Luis (2005-09)
    External research report
    Open Access
    In this paper we revisit the foundations of formal concept analysis for ordered contexts of [4]. From the theoretical point of view, the obtained lattice has proved to be a proper unifying framework for reasoning about ...
  • ALOJA: A benchmarking and predictive platform for big data performance analysis 

    Poggi, Nicolas; Berral García, Josep Lluís; Carrera Pérez, David (Springer, 2016)
    Conference report
    Open Access
    The main goals of the ALOJA research project from BSC-MSR, are to explore and automate the characterization of cost-effectivenessof Big Data deployments. The development of the project over its first year, has resulted in ...
  • A machine learning approach for layout inference in spreadsheets 

    Koci, Elvis; Thiele, Maik; Romero Moral, Óscar; Lehner, Wolfgang (SciTePress, 2016)
    Conference report
    Open Access
    Spreadsheet applications are one of the most used tools for content generation and presentation in industry and the Web. In spite of this success, there does not exist a comprehensive approach to automatically extract and ...
  • A methodology for maintaining consistency between conceptual interpretations of nested partitions 

    Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, Miquel (2016)
    Conference report
    Restricted access - publisher's policy
    The relationship between interpretations of nested partitions is analyzed in this work, since there are multiple situations where a refinement of the original partition arises. As a result, a new methodology NCI-IMS is ...
  • Ampliacions del programa Minermol Visualització i clustering 

    König, Caroline Leonore (Universitat Politècnica de Catalunya, 2007-01-26)
    Master thesis (pre-Bologna period)
    Open Access
  • A multi-scale smoothing kernel for measuring time-series similarity 

    Troncoso, Alicia; Arias Vicente, Marta; Riquelme Santos, José Cristóbal (2015-11-01)
    Article
    Open Access
    In this paper a kernel for time-series data is introduced so that it can be used for any data mining task that relies on a similarity or distance metric. The main idea of our kernel is that it should recognize as highly ...
  • Análisis de datos para la detección de anomalías en procesos de soldadura 

    Di Giovanni Núñez, Andrés (Universitat Politècnica de Catalunya, 2018-06-27)
    Master thesis
    Restricted access - confidentiality agreement
    Covenantee:  JBC Soldering