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Πλοήγηση ανά Θέμα "Heterogeneous data"

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    • Handling big data: research challenges and future directions 

      Anagnostopoulos I., Zeadally S., Exposito E. (2016)
      Today, an enormous amount of data is being continuously generated in all walks of life by all kinds of devices and systems every day. A significant portion of such data is being captured, stored, aggregated and analyzed ...

    • Heterogeneous data fusion and selection in high-volume molecular and imaging datasets 

      Moutselos, K.; Maglogiannis, I.; Chatziioannou, A. (2012)
      In this work, two disparate datasets, concerning the study of the same physiological type of cutaneous melanoma but derived from different donors, one of image (dermatoscopy) and the other of molecular (trascriptomic ...

    • A query language for multi-version data web archives 

      Meimaris M., Papastefanatos G., Viglas S., Stavrakas Y., Pateritsas C., Anagnostopoulos I. (2016)
      The Data Web refers to the vast and rapidly increasing quantity of scientific, corporate, government and crowd-sourced data published in the form of Linked Open Data, which encourages the uniform representation of heterogeneous ...

    • Smart Pharmaceutical Manufacturing: Ensuring End-to-End Traceability and Data Integrity in Medicine Production 

      Leal F., Chis A.E., Caton S., González–Vélez H., García–Gómez J.M., Durá M., Sánchez–García A., Sáez C., Karageorgos A., Gerogiannis V.C., Xenakis A., Lallas E., Ntounas T., Vasileiou E., Mountzouris G., Otti B., Pucci P., Papini R., Cerrai D., Mier M. (2021)
      Production lines in pharmaceutical manufacturing generate numerous heterogeneous data sets from various embedded systems which control the multiple processes of medicine production. Such data sets should arguably ensure ...

    • Usage of statistical modeling techniques in surface and groundwater level prediction 

      Kenda K., Peternelj J., Mellios N., Kofinas D., Čerin M., Rožanec J. (2020)
      The paper presents a thorough evaluation of the performance of different statistical modeling techniques in ground- and surface-level prediction scenarios as well as some aspects of the application of data-driven modeling ...