Now showing items 1-4 of 4

    • Application of machine learning techniques to biological big data 

      Auriemma Citarella, Alessia (Universita degli studi di Salerno, 2022-05-10)
      To date, has been the primary driver of global innovation, compet- itiveness and cultural development. It is also a powerful engine for creating new job opportunities, expanding market segments and inspiring new ...
    • Enhancing the Sharing and the Management of Personal Data in the Big Data Era 

      Desiato, Domenico (Universita degli studi di Salerno, 2022-02-22)
      Nowadays, thanks to the digitalization of business processes and public administrations, many significant Big data collections are available. Users are direct suppliers of data when publishing contents on social networks. ...
    • Exploring Large-Scale Digital Archives – Opportunities and Limits to Use Unsupervised Machine Learning for the Extraction of Semantics 

      Van Hooland, Seth <Vrije Universiteit Brussel>; Coeckelbergs, Mathias <Université libre de Bruxelles> (S. van Hooland, M. Coeckelbergs, "Exploring Large-Scale Digital Archives – Opportunities and Limits to Use Unsupervised Machine Learning for the Extraction of Semantics", in Handbook of Digital Public History, Berlin, Boston: De Gruyter Oldenbourg, 2022, pp. 517-530, 2022)
      The current excitement in regards to machine learning has spurred enthu-siasm amongst collection holders and historians alike to rely on algorithms to re-duce the amount of manual labor required for management and appraisal ...
    • Intelligent privacy safeguards for the digital society 

      Guarino, Alfonso (Universita degli studi di Salerno, 2021-05-24)
      The growth of the Internet and the pervasiveness of Information and Communication Technology (ICT) have led to a radical change in our society, a deep economical, commercial and social impact on our lives. To date, most ...