Exploració per tema "Data quality"

Ara es mostren els items 1-7 de 7

    • A data quality framework for graph-based virtual data integration systems 

      Li, Yalei; Nadal Francesch, Sergi; Romero Moral, Óscar (Springer, 2022)
      Text en actes de congrés
      Accés obert
      Data Quality (DQ) plays a critical role in data integration. Up to now, DQ has mostly been addressed from a single database perspective. Popular DQ frameworks rely on Integrity Constraints (IC) to enforce valid application ...

    • Actionable software metrics: An industrial perspective 

      Ram, Prabhat; Rodríguez, Pilar; Oivo, Markku; Martínez Fernández, Silverio Juan; Bagnato, Alessandra; Choras, Michal; Kozik, Rafal; Aaramaa, Sanja; Ahola, Milla (Association for Computing Machinery (ACM), 2020)
      Text en actes de congrés
      Accés obert
      Background: Practitioners would like to take action based on software metrics, as long as they find them reliable. Existing literature explores how metrics can be made reliable, but remains unclear if there are other ...

    • Contributions to the formalization of order-like dependencies using FCA 

      Codocedo, Victor; Baixeries i Juvillà, Jaume; Kaytoue, Mehdi; Napoli, Amedeo (2016)
      Text en actes de congrés
      Accés obert
      Functional Dependencies (FDs) play a key role in many fields of the relational database model, one of the most widely used database systems. FDs have also been applied in data analysis, data quality, knowledge discovery ...

    • Development of an intelligent approach for delivering high performing training solutions 

      Rodrigo Corominas, Martí (Universitat Politècnica de Catalunya, 2023-01-26)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Cranfield University / Babcock International
      Predictive modelling is a state-of-the-art technique for which an objective variable is predicted given a set of environmental parameters. Many types of models exist and most of them can be built with different architectures. ...

    • Quality Management Framework for Climate Datasets 

      Lacagnina, Carlo; Doblas-Reyes, Francisco; Larnicol, Gilles; Buontempo, Carlo; Obregón, André; Costa Surós, Montserrat; Bretonnière, Pierre-Antoine; Llabrés Brustenga, Alba; Pérez-Zanón, Núria (Ubiquity Press, 2022)
      Article
      Accés obert
      Data from a variety of research programmes are increasingly used by policy makers, researchers, and private sectors to make data-driven decisions related to climate change and variability. Climate services are emerging as ...

    • Safe traffic sign recognition through data augmentation for autonomous vehicles software 

      Jöckel, Lisa; Kläs, Michael; Martínez Fernández, Silverio Juan (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés obert
      Context: Since autonomous vehicles operate in an open context, their software components, including data-driven ones, have to reliably process inputs (e.g., obtained by cameras) in order to make safe decisions. A key ...

    • The costs of poor data quality 

      Haug, Anders; Zachariassen, Frederik; Van Liempd, Dennis (School of Industrial and Aeronautic Engineering of Terrassa (ETSEIAT). Universitat Politècnica de Catalunya (UPC), 2011-07)
      Article
      Accés obert
      Purpose: The technological developments have implied that companies store increasingly more data. However, data quality maintenance work is often neglected, and poor quality business data constitute a significant cost ...