Enviaments recents

  • Aggregating energy flexibilities under constraints 

    Valsomatzis, Emmanouil; Bach Pedersen, Torben; Abelló Gamazo, Alberto; Hose, Katja (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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    The flexibility of individual energy prosumers (producers and/or consumers) has drawn a lot of attention in recent years. Aggregation of such flexibilities provides prosumers with the opportunity to directly participate ...
  • Analysis and operational challenges of dynamic ride sharing demand responsive transportation models 

    Linares Herreros, Mª Paz; Barceló Bugeda, Jaime; Carmona Bautista, Carlos; Montero Mercadé, Lídia (Elsevier, 2016)
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    There is a wide body of evidence that suggests sustainable mobility is not only a technological question, but that automotive technology will be a part of the solution in becoming a necessary albeit insufficient condition. ...
  • Updating DL-Lite ontologies through first-order queries 

    Giacomo, Giuseppe De; Oriol Hilari, Xavier; Rosati, Riccardo; Savo, Domenico Fabio (Springer, 2016)
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    In this paper we study instance-level update in DL-LiteA, the description logic underlying the OWL 2 QL standard. In particular we focus on formula-based approaches to ABox insertion and deletion. We show that DL-LiteA, ...
  • H-word: Supporting job scheduling in Hadoop with workload-driven data redistribution 

    Jovanovic, Petar; Romero Moral, Óscar; Calders, Toon; Abelló Gamazo, Alberto (2016)
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    Today’s distributed data processing systems typically follow a query shipping approach and exploit data locality for reducing network traffic. In such systems the distribution of data over the cluster resources plays a ...
  • TINTIN : comprobación incremental de aserciones SQL 

    Oriol Hilari, Xavier; Teniente López, Ernest; Rull, Guillem (2016)
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    Ninguno de los SGBD más populares del momento implementa aserciones SQL, obligando así a implementar manualmente su comprobación. Por ello, presentamos TINTIN: una aplicación que genera automáticamente el código SQL para ...
  • Automated data pre-processing via meta-learning 

    Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs; Wrembel, Robert (2016)
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    A data mining algorithm may perform differently on datasets with different characteristics, e.g., it might perform better on a dataset with continuous attributes rather than with categorical attributes, or the other way ...
  • Towards intelligent data analysis : the metadata challenge 

    Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs; Wrembel, Robert (2016)
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    Accés restringit per política de l'editorial
    Once analyzed correctly, data can yield substantial benefits. The process of analyzing the data and transforming it into knowledge is known as Knowledge Discovery in Databases (KDD). The plethora and subtleties of algorithms ...
  • POIESIS: A tool for quality-aware ETL process redesign 

    Theodorou, Vasileios; Abelló Gamazo, Alberto; Thiele, Maik; Lehner, Wolfgang (2015)
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    We present a tool, called POIESIS, for automatic ETL process enhancement. ETL processes are essential data-centric activities in modern business intelligence environments and they need to be examined through a viewpoint ...
  • A simulation framework for real-time assessment of dynamic ride sharing demand responsive transportation models 

    Linares Herreros, Mª Paz; Montero Mercadé, Lídia; Barceló Bugeda, Jaime; Carmona, Carlos (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Text en actes de congrés
    Accés obert
    Sustainable mobility is not only a technological question, automotive technology will be part of the solution combined with a paradigm shift from car ownership to vehicle usage, and the application of Information and ...
  • Towards information profiling: data lake content metadata management 

    Al-serafi, Ayman Mounir Mohamed; Abelló Gamazo, Alberto; Romero Moral, Óscar; Calders, Toon (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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    There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, commonly called Data Lakes (DL). These BD require new techniques of data integration and schema alignment in order to make the ...

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