L'activitat científica del grup se centra en la investigació, la transferència tecnològica i la formació en temes lligats a la modelització i el processament de la informació, com ara la modelització conceptual, la qualitat de les dades, la intel·ligència del negoci, la mineria de dades o l'enginyeria de serveis. En el marc d'aquesta activitat, els membres del grup han aconseguit en el període 2009-2013 12 projectes de R+D competitius i 26 contractes o convenis amb empreses i administracions, amb un ingrés total que supera els 4,1 milions d'euros. També han publicat més de 40 articles en revistes indexades al Journal Citation Reports (JCR) i més de 100 articles a congressos de reconegut prestigi internacional. A nivell formatiu, coordinen tres Erasmus Mundus (un de doctorat) i han dirigit 14 tesis doctorals en els últims cinc anys. A més, compten amb nombroses col·laboracions internacionals i duen regularment a terme accions de divulgació científica dels resultats de la recerca.

http://futur.upc.edu/MPI

The group works in the following fields: the conceptual modelling and design of information systems; database schema and information systems validation; and database update processing.

http://futur.upc.edu/MPI

The group works in the following fields: the conceptual modelling and design of information systems; database schema and information systems validation; and database update processing.

http://futur.upc.edu/MPI

Enviaments recents

  • Approaching parallel computing to simulating population dynamics in demography 

    Montañola Sales, Cristina; Onggo, Bhakti S. S.; Casanovas Garcia, Josep; Cela Espín, José M.; Kaplan Marcusan, Adriana (2016-11-01)
    Article
    Accés restringit per política de l'editorial
    Agent-based modelling and simulation is a promising methodology that can be applied in the study of population dynamics. The main advantage of this technique is that it allows representing the particularities of the ...
  • On-line analytical processing 

    Abelló Gamazo, Alberto; Romero Moral, Óscar (Springer, 2017-01-21)
    Capítol de llibre
    Accés restringit per política de l'editorial
    On-line analytical processing (OLAP) describes an approach to decision support, which aims to extract knowledge from a data warehouse, or more specifically, from data marts. Its main idea is providing navigation through ...
  • Towards intelligent data analysis : the metadata challenge 

    Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs; Wrembel, Robert (2016)
    Comunicació de congrés
    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)
    Text en actes de congrés
    Accés obert
    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 ...
  • Dimensional enrichment of statistical linked open data 

    Varga, Jovan; Vaisman, Alejandro; Romero Moral, Óscar; Etcheverry, Lorena; Bach Pedersen, Torben; Thomsen, Christian (2016-10-01)
    Article
    Accés restringit per política de l'editorial
    On-Line Analytical Processing (OLAP) is a data analysis technique typically used for local and well-prepared data. However, initiatives like Open Data and Open Government bring new and publicly available data on the web ...
  • 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)
    Text en actes de congrés
    Accés obert
    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 ...
  • A unified view of data-intensive flows in business intelligence systems : a survey 

    Jovanovic, Petar; Romero Moral, Óscar; Abelló Gamazo, Alberto (2016-12)
    Article
    Accés restringit per política de l'editorial
    Data-intensive flows are central processes in today’s business intelligence (BI) systems, deploying different technologies to deliver data, from a multitude of data sources, in user-preferred and analysis-ready formats. ...
  • Quality measures for ETL processes: from goals to implementation 

    Theodorou, Vasileios; Abelló Gamazo, Alberto; Lehner, Wolfgang; Thiele, Maik (2016-10-01)
    Article
    Accés obert
    Extraction transformation loading (ETL) processes play an increasingly important role for the support of modern business operations. These business processes are centred around artifacts with high variability and diverse ...
  • A machine learning approach for layout inference in spreadsheets 

    Koci, Elvis; Thiele, Maik; Romero Moral, Óscar; Lehner, Wolfgang (SciTePress, 2016)
    Text en actes de congrés
    Accés obert
    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 ...

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