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    On the Automated Transformation of Domain Models into Tabular Datasets

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    URI: http://hdl.handle.net/10902/13682
    ISSN: 1613-0073
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    Author
    Vega Ruiz, Alfonso de la; García Saiz, Diego; Zorrilla Pantaleón, Marta Elena; Sánchez Barreiro, Pablo
    Date
    2017-05
    Derechos
    © Los autores
    Publicado en
    CEUR Workshop Proceedings, 2017, vol.1979, pp.100-113
    Publisher
    R. Piskac c/o Redaktion Sun SITE Informatik V RWTH Aachen
    Enlace a la publicación
    http://ceur-ws.org/Vol-1979/paper-07.pdf
    Palabras clave
    Data Mining
    Model-Driven Engineering
    Domain-Driven Design
    Abstract:
    We are surrounded by ubiquitous and interconnected soft- ware systems which gather valuable data. The analysis of these data, although highly relevant for decision making, cannot be performed di- rectly by business users, as its execution requires very speci c technical knowledge in areas such as statistics and data mining. One of the com- plexity problems faced when constructing an analysis of this kind resides in the fact that most data mining tools and techniques work exclusively over tabular-formatted data, preventing business users from analysing excerpts of a data bundle which have not been previously traduced into this format by an expert. In response, this work presents a set of transfor- mation patterns for automatically generating tabular data from domain models. The described patterns have been integrated into a language, which allows business users to specify the elements of a domain model that should be considered for data analysis.
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    • D30 Proyectos de Investigación [55]
    • D30 Congresos [27]

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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contact Us | Send Feedback
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 3.0 España