Tutto DSpace

Sfoglia per Soggetto "Decision theory"

Items 1-6 di 6

    • Limiting the impact of statistics as a proverbial source of falsehood 

      Kiouvrekis Y., Stefaneas P., Kokkinaki A., Asimakis N. (2019)
      This paper presents an early version of a decision-making “eco” system. We refer to it as an “eco” system because it is primarily based on mathematical logic and combines concepts and principles from the fields of statistics, ...

    • Local & Federated Learning at the network edge for efficient predictive analytics 

      Harth N., Anagnostopoulos C., Voegel H.-J., Kolomvatsos K. (2022)
      The ability to perform computation on devices present in the Internet of Things (IoT) and Edge Computing (EC) environments leads to bandwidth, storage, and energy constraints, as most of these devices are limited with ...

    • A max-min approach for hiding frequent itemsets 

      Moustakides, G. V.; Verykios, V. S. (2006)
      In this paper we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) relies on the maxmin criterion which is a method ...

    • Proactive & Time-Optimized Data Synopsis Management at the Edge 

      Kolomvatsos K., Anagnostopoulos C., Koziri M., Loukopoulos T. (2022)
      Internet of Things offers the infrastructure for smooth functioning of autonomous context-aware devices being connected towards the Cloud. Edge Computing (EC) relies between the IoT and Cloud providing significant advantages. ...

    • Proactive, uncertainty-driven queries management at the edge 

      Kolomvatsos K., Anagnostopoulos C. (2021)
      Research community has already revealed the challenges of data processing when performed at the Cloud that may affect the performance of any desired application. The main challenge is the increased latency observed when ...

    • Smart building's elevator with intelligent control algorithm based on Bayesian networks 

      Bapin Y., Zarikas V. (2019)
      Implementation of the intelligent elevator control systems based on machine-learning algorithms should play an important role in our effort to improve the sustainability and convenience of multi-floor buildings. Traditional ...