El grup DAMA-UPC s'especialitza en la gestió de grans volums de dades amb especial èmfasi en el rendiment i la qualitat de les dades. Té en compte les necessitats del kernel de la base de dades, centrant-se especialment en l'optimitzador i el motor d'execució, o el repositori de dades bàsic ubicat per sobre del sistema de fitxers del SO. Les seves habilitats permeten la millora del rendiment en aplicacions executades amb les dades en memòria i en aplicacions executades amb les dades a disc.

DAMA-UPC és membre de la Xarxa IT pertanyent al Departament d'Industria de la Generalitat de Catalunya des del començament del 2005.

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Enviaments recents

  • CIGO! Mobility management platform for growing efficient and balanced smart city ecosystem 

    Mrazovic, P.; Rubia Galera, Ivan de la; Urmeneta, J.; Balufo, C.; Tapias Guillen, Ricard; Matskin, M.; Larriba Pey, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    The massive amount of tourists, citizens and traffic in big cities usually collapse busy areas causing transport inefficiency, unbalanced economic growth, crime, and nuisance among citizens and visitors. Therefore, the ...
  • Put three and three together: Triangle-driven community detection 

    Prat Pérez, Arnau; Domínguez Sal, David; Brunat Blay, Josep Maria; Larriba Pey, Josep (Association for Computing Machinery (ACM), 2016-02-01)
    Article
    Accés obert
    Community detection has arisen as one of the most relevant topics in the field of graph data mining due to its applications in many fields such as biology, social networks, or network traffic analysis. Although the existing ...
  • Tècniques de feature weighting per casos no supervisats: Implementació a GESCONDA 

    Sànchez-Marrè, Miquel; Gómez Villamor, Sergio; Teixidò, F; Gibert, Karina (2006-07)
    Report de recerca
    Accés obert
    Feature selection and feature weighting methods in supervised domains have been thoroughly discussed in the literature. On the other hand, very little work has been done for unsupervised domains, probably due to the assumed ...
  • Introduction to graph databases 

    Larriba Pey, Josep; Martínez Bazán, Norbert; Domínguez Sal, David (2014-09-08)
    Capítol de llibre
    Accés restringit per política de l'editorial
    The use of graphs in analytic environments is getting more and more widespread, with applications in many different environments like social network analysis, fraud detection, industrial management, knowledge analysis, ...
  • High quality, scalable and parallel community detection for large real graphs 

    Prat Pérez, Arnau; Domínguez Sal, David; Larriba Pey, Josep (Association for Computing Machinery (ACM), 2014)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Community detection has arisen as one of the most relevant topics in the field of graph mining, principally for its applications in domains such as social or biological networks analysis. Different community detection ...
  • Automatic multi-partite graph generation from arbitrary data 

    Álvarez García, Sandra; Baeza Yates, Ricardo; Brisaboa, Nieves R.; Larriba Pey, Josep; Pedreira, Oscar (2014-08-22)
    Article
    Accés restringit per política de l'editorial
    In this paper we present a generic model for automatic generation of basic multi-partite graphs obtained from collections of arbitrary input data following user indications. The paper also presents GraphGen, a tool that ...
  • Two-way replacement selection 

    Martínez Palau, Xavier; Domínguez Sal, David; Larriba Pey, Josep (Association for Computing Machinery (ACM), 2010-09-01)
    Article
    Accés restringit per política de l'editorial
    The performance of external sorting using merge sort is highly dependent on the length of the runs generated. One of the most commonly used run generation strategies is Replacement Selection (RS) because, on average, it ...
  • Using genetic algorithms for attribute grouping in multivariate microaggregation 

    Balasch Masoliver, Jordi; Muntés Mulero, Víctor; Nin Guerrero, Jordi (2014-01-01)
    Article
    Accés obert
    Anonymization techniques that provide k-anonymity suffer from loss of quality when data dimensionality is high. Microaggregation techniques are not an exception. Given a set of records, attributes are grouped into ...
  • A discussion on the design of graph database benchmarks 

    Domínguez Sal, David; Martínez Bazán, Norbert; Muntés Mulero, Víctor; Baleta Ferrer, Pedro; Larriba Pey, Josep (2011)
    Article
    Accés obert
    Graph Database Management systems (GDBs) are gaining popularity. They are used to analyze huge graph datasets that are naturally appearing in many application areas to model interrelated data. The objective of this paper ...
  • Massive query expansion by exploiting graph knowledge bases for image retrieval 

    Guisado Gámez, Joan; Domínguez Sal, David; Larriba Pey, Josep (Association for Computing Machinery (ACM), 2014)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Annotation-based techniques for image retrieval suffer from sparse and short image textual descriptions. Moreover, users are often not able to describe their needs with the most appropriate keywords. This situation is a ...

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