*Ingenierías y Ciencias de la Computación (Proyecto VLIR): Recent submissions

  • Cunningham Colleen; Chen Peter P (2004)
    CRM is a strategy that integrates the concepts of Knowledge Management, Data Mining, and Data Warehousing in order to support the organization's decision-making process to retain long-term and profitable relationships with ...
  • Theodoratos Dimitri; Xu Wugang (2004)
    Deciding which views to materialize is an important problem in the design of a Data Warehouse. Solving this problem requires generating a space of candidate view sets from which an optimal or near-optimal one is chosen for ...
  • Riadh Ben; Messaoud; Boussaid Omar; Rabasédarabas´rabaséda Sabine (2004)
    Nowadays, decision support systems are evolving in order to handle complex data. Some recent works have shown the interest of combining on-line analysis processing (OLAP) and data mining. We think that coupling OLAP and ...
  • Luján-Mora Sergio; Trujillo Juan (2004)
    During the few last years, several approaches have been proposed to model different aspects of a Data Warehouse (DW), such as the conceptual model of the DW, the design of the ETL (Extraction, Transformation, Loading) ...
  • Morzy Tadeusz; Wrembel Robert (2004)
    A data warehouse (DW) is fed with data that come from external data sources that are production systems. External data sources, which are usually autonomous, often change not only their content but also their structure. ...
  • Yin Xuepeng; Pedersen Torben Bach (2004)
    In today's OLAP systems, integrating fast changing data, e.g., stock quotes, physically into a cube is complex and time-consuming. The widespread use of XML makes it very possible that this data is available in XML format ...
  • Espil Mauricio Minuto; Vaisman Alejandro A (2004)
    A peer-to-peer (P2P) data management system consists essentially of a network of peer systems, each maintaining full autonomy over its own data resources. Data exchange between peers occurs when one of them, in the role ...
  • Golfarelli Matteo; Rizzi Stefano; Formula Gruppo; S; Matteotti A Via (2004)
    During the last ten years the approach to business management has deeply changed, and companies have understood the importance of enforcing achievement of the goals defined by their strategy through metrics-driven management. ...
  • Horner John; Chen Peter P (2004)
    Accurate summary data is of paramount concern in data warehouse systems; however, there have been few attempts to completely characterize the ability to summarize measures. The sum operator is the typical aggregate operator ...
  • Costa Marco; Madeira Henrique (2004)
    The DWS (Data Warehouse Striping) technique allows the distribution of large data warehouses through a cluster of computers. The data partitioning approach partition the facts tables through all nodes and replicates the ...
  • Kaser Owen; Lemire Daniel (2003)
    The normalization of a data cube is the process of choosing an ordering for the attribute values, and the chosen ordering will affect the physical storage of the cube's data. For large multidimensional arrays, proper ...
  • Engströmengstr¨engström H; Chakravarthy S; Lings B (2003)
    This work addresses data warehouse maintenance, i.e. how changes to autonomous, heterogeneous, and distributed sources should be detected and propagated to a warehouse. The research community has mainly addressed issues ...
  • Fan Hao; Poulovassilis Alexandra (2003)
    What kind of metadata can be used for expressing the mul-tiplicity of data models and the data transformation and integration processes in data warehousing environments? How can this metadata be further used for supporting ...
  • Abelí Alberto; Samos Joséjos´josé; Saltor F ` Elix (2003)
    In the last years, lots of work have been devoted to multidi-mensional modeling, star shape schemas and OLAP operations. However, " drill-across " has not captured as much attention as other operations. This operation ...
  • Sismanis Yannis; Deligiannakis Antonios; Kotidis Yannis; Roussopoulos Nick (2003)
    The data cube operator exemplifies two of the most important aspects of OLAP queries: aggregation and dimension hierarchies. In earlier work we presented Dwarf, a highly compressed and clustered structure for creating, ...
  • Hümmer Wolfgang; Bauer Andreas; Harde Gunnar (2003)
    Data warehouse systems are nowadays a well known and widely spread approach for supporting management decisions. In several companies or even across companies the idea of integrating several data warehouses into a virtual ...
  • Rao Fangyan; Zhang Long; Yu Lan; Li Ying; Chen Ying (2003)
    Data warehouse and Online Analytical Processing(OLAP) play a key role in business intelligent systems. With the increasing amount of spatial data stored in business database, how to utilize these spatial information to get ...
  • Maniatis Andreas S; Vassiliadis Panos; Skiadopoulos Spiros; Vassiliou Yannis (2003)
    Data visualization is one of the big issues of database research. OLAP as a decision support technology is highly related to the developments of data visualization area. In this paper we demonstrate how the Cube Presentation ...
  • Costa João Pedro; Furtado Pedro (2003)
    Data warehouses (DW) that store enormous quantities of data put a major challenge in what concerns performance and scalability, as users request instant answers to their queries. Traditional solutions rely on very expensive ...
  • Pedersen Dennis; Pedersen Torben Bach (2003)
    Motivated by the need for more flexible OLAP systems, this paper presents work on logical integration of external data in OLAP databases, carried out in cooperation between the Danish OLAP client vendor TARGIT and Aalborg ...

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