• Improving Distance-Join Query processing with Voronoi-Diagram based partitioning in SpatialHadoop 

      García-García F., Corral A., Iribarne L., Vassilakopoulos M. (2020)
      SpatialHadoop is an extended MapReduce framework supporting global indexing techniques that partition spatial datasets across several machines and improve spatial query processing performance compared to traditional Hadoop ...
    • An information system for judicial and public administration using artificial intelligence and geospatial data 

      Kouziokas G.N. (2017)
      The adoption of information technology in judicial and public administration has become a major need nowadays with the rapid growth of information regarding managerial issues. This paper presents an advanced methodology ...
    • An integer programming approach for frequent itemset hiding 

      Gkoulalas-Divanis, A.; Verykios, V. S. (2006)
      The rapid growth of transactional data brought, soon enough, into attention the need of its further exploitation. In this paper, we investigate the problem of securing sensitive knowledge from being exposed in patterns ...
    • Join-queries between two spatial datasets indexed by a single R*-tree 

      Vassilakopoulos, M.; Corral, A.; Karanikolas, N. N. (2011)
      A spatial join, a common query in Spatial Databases and Geographical Information Systems (GIS), consists in testing every possible pair of data elements belonging to two spatial datasets against a spatial predicate. This ...
    • Merging R-trees 

      Vasaitis, V.; Nanopoulos, A.; Bozanis, P. (2004)
      R-trees, since their introduction in 1984, have been proven to be one of the most well-behaved practical data structures for accommodating dynamic massive sets of geometric objects and conducting a diverse set of queries ...
    • Predictive join processing between regions and moving objects 

      Corral, A.; Torres, M.; Vassilakopoulos, M.; Manolopoulos, Y. (2008)
      The family of R-trees is suitable for indexing various kinds of multidimensional objects. TPR*-trees are R-tree based structures that have been proposed for indexing a moving object database, e.g. a data-base of moving ...
    • A quantitative and qualitative analysis of blocking in association rule hiding 

      Pontikakis, E. D.; Tsitsonis, A. A.; Verykios, V. S.; Theodoridis, Y.; Chang, L. (2004)
      Data mining provides the opportunity to extract useful information from large databases. Various techniques have been proposed in this context in order to extract this information in the most efficient way. However, ...
    • SCFs and fatigue design of multi-planar tubular DT-joints 

      Karamanos, S. A.; Romeijn, A.; Wardenier, J. (2001)
      The present paper concerns the fatigue design of multi-planar welded tubular DT (double T) steel connections. Stress Concentration Factors (SCFs) are used for the calculation of the hot-spot stress of the joint and, ...
    • The science of science and a multilayer network approach to scientists’ ranking 

      Sideris G., Sidiropoulos A., Katsaros D., Manolopoulos Y. (2018)
      The deluge of data on scholarly output created unique opportunities for identifying the drivers of modern science, for studying career paths of scientists, and for measuring the research performance. These massive data and ...
    • A scientist's impact over time: The predictive power of clustering with peers 

      Gogoglou A., Sidiropoulos A., Katsaros D., Manolopoulos Y. (2016)
      The identification of latent patterns in big scholarly data that concern the performance of researchers is a significant task because it can potentially impact scien-tific careers since they are based in funding and ...
    • SliceNBound: Solving closest pairs and distance join queries in apache spark 

      Mavrommatis G., Moutafis P., Vassilakopoulos M., García-García F., Corral A. (2017)
      The (K) Closest-Pair(s) Query, KCPQ, consists in finding the (K) closest pair(s) of objects between two spatial datasets. Recently, several systems that enhance Apache Spark with spatial-awareness have been presented, ...
    • TarMiner: Automatic extraction of miRNA targets from literature 

      Tsoupidi R.-M., Kanellos I., Vergoulis T., Vlachos I.S., Hatzigeorgiou A.G., Dalamagas T. (2015)
      MicroRNAs (miRNAs) are small RNA molecules that tar-get particular genes and prohibit their expression. Since many important diseases are related to the expression or non-expression of particular genes, knowing the miRNAs ...
    • The xbr+-tree: An efficient access method for points 

      Roumelis G., Vassilakopoulos M., Loukopoulos T., Corral A., Manolopoulos Y. (2015)
      Spatial indexes, such as those based on Quadtree, are important in spatial databases for efficient execution of queries involving spatial constraints. In this paper, we present improvements of the xBR-tree (a member of the ...